@inproceedings{Noori2024a,
 address = {San Diego},
 author = {Hoschang Noori and Robert
Schmoll and Andreas Kroll},
 booktitle = {SPIE Optical Engineering + Applications (OP24O)},
 date = {2024},
 month = {September},
 note = {submitted},
 organization = {SPIE},
 owner = {Noori},
 timestamp = {2024.04.24},
 title = {Characterization of the angular distribution of the
radiance and homogeneity of a integrating sphere and a
parabolic reflector in the middle- and long-wavelength
infrared with a self-developed
gonioradiometer},
 year = {2024}
}

@inproceedings{Pereira-CCTA-2024,
 address = {Newcastle, UK},
 author = {Guilherme da Fonseca Pereira and Goran Jelicic and Andreas Kroll},
 booktitle = {8th IEEE Conference on Control Technology and Applications (CCTA)},
 date = {2024},
 month = {August},
 mrtnote = {peer},
 note = {submitted},
 owner = {gp},
 timestamp = {2024.02.20},
 title = {Spatio-temporal temperature models for growing 2D
workpieces during Direct Laser Deposition with emissivity
compensation},
 year = {2024}
}

@incollection{EmergMeth_Rehmer_2022,
 abstract = {The plastic injection molding process has been established as the most widespread manufacturing process in the plastic processing industry. It is employed by almost 70 % of all plastic processing companies. Among the decisive factors contributing to its prevalence are the ability to manufacture parts with intricate geometries and a high degree of automation. There are approaches of varying complexity to control the part quality to reduce waste and increase the efficiency of the process: The industry standard is the control of the so-called machine-variables i.e. the process variables that are measured on the machine side of the process. This does not take into account any variables that reflect the true state of the emerging part. For this reason the scientific community aims to control process variables that are measured cavity-side, more precisely the pressure in the mold cavity. However the implementation of pressure control requires significant control knowledge and is not suitable for large-scale industrial application. The objective of this contribution is therefore to transform an ordinary machine-variable controlled injection molding machine to a Cyber Physical Production System (CPPS) via augmentation by a digital twin (DT). The DT will predict the part quality from process variables. To this end a state-of-the-art industrial injection molding machine was equipped with additional sensors that measure in-cavity process variables. Moreover an in-line quality measuring cell was added. By doing so all machine, processes and quality data required for data-driven modeling and perspectively control are acquired. Subsequently an internal dynamics approach for predicting final batch quality from process value trajectories is proposed and compared to the current state-of-the-art modeling approaches in a case study.},
 author = {Alexander Rehmer and Marco Klute and Andreas Kroll and Hans-Peter Heim},
 booktitle = {Modeling, Identification
and Control for Cyber-Physical Systems Towards Industry
4.0},
 chapter = {4},
 doi = {10.1016/B978-0-32-395207-1.00014-7},
 edition = {1},
 editor = {Paolo Mercorelli and Weicun Zhang and Hamidreza Nemati and YuMing Zhang},
 isbn = {978-0-323-95207-1},
 keywords = {Digital Twin, Plastic injection molding
Part quality prediction, OPC-UA
Machine
learning},
 language = {english},
 mrtnotes = {submitted, IdRNN},
 pages = {79--109},
 publisher = {Academic Press},
 series = {Emerging Methodologies and Applications in Modelling, Identification and Control},
 title = {A Digital Twin for Part QualityPrediction and Control in
Plastic Injection
Molding},
 url = {https://www.sciencedirect.com/science/article/abs/pii/B9780323952071000147},
 year = {2024}
}

@inproceedings{Shen2023,
 address = {Vienna, Austria},
 author = {Zhe Shen and Robert Schmoll and Andreas Kroll},
 booktitle = {IEEE Sensors 2023},
 doi = {10.1109/SENSORS56945.2023.10324883},
 language = {english},
 month = {30. October},
 mrtnote = {peer, poster:Shen},
 organization = {IEEE},
 owner = {shen},
 title = {Measurement of Fluid Flow Velocity by Using Infrared and
Visual Cameras: Comparison and Evaluation of Optical Flow
Estimation
Algorithms},
 url = {https://ieeexplore.ieee.org/document/10324883},
 year = {2023}
}

@article{Mendez2023c,
 author = {Miguel Mendez and Sebastian Schramm and Robert
Schmoll and Andreas Kroll},
 journal = {Journal of Sensors and Sensor Systems (JSSS)},
 mrtnote = {peer},
 note = {submitted},
 owner = {mendez},
 title = {Integration and Evaluation of a High-Precision MotionCam-3D into a 3D Thermography
System},
 year = {2023}
}

@inproceedings{Mendez2023a,
 address = {Nürnberg},
 author = {Miguel Mendez and Sebastian Schramm and Robert
Schmoll and Andreas Kroll},
 booktitle = {Sensor and Measurement Science International
Conference (SMSI) 2023},
 date = {2023},
 doi = {10.5162/SMSI2023/E5.2},
 month = {May},
 mrtnote = {nopeer},
 organization = {AMA Verband für Sensorik und Messtechnik e.V.},
 owner = {Mendez},
 timestamp = {2023.01.31},
 title = {Integration of a High-Precision 3D Sensor into a 3D
Thermography System},
 year = {2023}
}

@inproceedings{Mendez2023b,
 abstract = {Current radiometric calibration procedures for thermal imaging cameras are usually performed for a single calibration geometry. The uncertainty estimated from such procedure only represents the calibration scenario and does not account for variation of the emitting source's size; this is known as the size-of-source effect (SSE). In this work, the measurements of the SSE for four thermal imaging cameras (two in the long-wavelength and two in the middle-wavelength infrared range) are presented. The investigation shows that the SSE is smaller for the middle-wavelength cameras.},
 address = {Abu Dhabi, U.A.E.},
 author = {Miguel Mendez and Jannik Ebert and Lars Sommerlade and Robert Schmoll and Andreas
Kroll},
 booktitle = {QIRT Asia 2023 - The 4th Quantitative Infrared
Thermography Conference},
 language = {english},
 month = {Oct. 30 - Nov. 3},
 mrtnote = {nopeer,3DTS},
 owner = {mendez},
 title = {Comparative Assessment of the Size-of-Source Effect in Middle and Long-Wavelength Infrared
Cameras},
 year = {2023}
}

@techreport{Kistner2023b,
 address = {Universität Kassel},
 author = {Lars Kistner and Stephan Rosendahl and Robert Schmoll and Patrick Plötter-Saße and Carsten Supply and Andreas
Kroll},
 institution = {FG Mess- und Regelungstechnik},
 language = {german},
 month = {September},
 mrtnr = {TR-033},
 owner = {kistner},
 timestamp = {2023.09.26},
 title = {Smarte drohnenbasierte Detektion, Lokalisierung und Quantifizierung von
Methanemissionen},
 type = {Abschlussbericht},
 url = {https://www.dbu.de/projektdatenbank/35407-01/},
 year = {2023}
}

@inproceedings{Kistner2023,
 address = {Nürnberg},
 author = {Lars Kistner and Robert Schmoll and Andreas Kroll},
 booktitle = {Sensor and Measurement Science International
Conference (SMSI) 2023},
 date = {2023},
 doi = {10.5162/SMSI2023/P67},
 month = {May},
 mrtnote = {nopeer},
 organization = {AMA Verband für Sensorik und Messtechnik e.V.},
 owner = {kistner},
 timestamp = {2023.01.31},
 title = {An Airborne Measurement System to Detect, Locate and
Quantify Methane Emissions},
 year = {2023}
}

@article{Kistner2023c,
 author = {Lars Kistner and Robert Schmoll and Andreas Kroll},
 journal = {Journal of Sensors and Sensor Systems (JSSS)},
 mrtnote = {peer},
 note = {submitted},
 owner = {kistner},
 title = {An airborne measurement system to detect, locate, and quantify methane emissions with attitude-based wind speed
estimation},
 year = {2023}
}

@inproceedings{2023-HJS_AK-Workshop_CI-KI_RT,
 address = {Berlin, Germany},
 author = {Hanns Sommer and Andreas Kroll},
 booktitle = {33. Workshop Computational Intelligence},
 doi = {10.5445/KSP/1000162754},
 language = {german},
 month = {23.--24. November},
 mrtnote = {nopeer},
 organization = {Workshop CI},
 owner = {HjS},
 pages = {61--80},
 publisher = {KIT Scientific Publishing},
 title = {Zum Einsatz von KI-Methoden zur Lösung von Problemen
der Regelungstechnik},
 url = {https://doi.org/10.5445/KSP/1000162754},
 year = {2023}
}

@article{Pereira-IFAC-2023,
 author = {Guilherme da Fonseca Pereira and Goran Jelicic and Andreas Kroll},
 doi = {10.1016/j.ifacol.2023.10.359},
 issn = {2405-8963},
 journal = {IFAC-PapersOnLine},
 month = {Juli},
 mrtnote = {peer},
 number = {2},
 owner = {gp},
 pages = {6606--6611},
 series = {22nd IFAC World Congress},
 timestamp = {2024.02.12},
 title = {Spatio-temporal {LPV} model of {2D} workpiece temperature
for Direct Laser
Deposition},
 url = {https://www.sciencedirect.com/science/article/pii/S2405896323007267},
 volume = {56},
 year = {2023}
}

@inproceedings{Wittich-FUZZ-2023,
 address = {Songdo Incheon},
 author = {Felix Wittich and Andreas Kroll},
 booktitle = {Proceedings of the IEEE International Conference on
Fuzzy Systems},
 date = {2023},
 doi = {10.1109/FUZZ52849.2023.10309735},
 month = {August},
 mrtnote = {peer},
 owner = {wittich},
 timestamp = {2023.04.20},
 title = {Data driven Structure Identification of Takagi Sugeno Fuzzy Models Using a Bounded Error
Approach},
 url = {https://ieeexplore.ieee.org/document/10309735},
 year = {2023}
}

@inproceedings{RezazadehGMA2023,
 address = {Berlin, Germany},
 author = {Farzad Rezazadeh and Axel Dürrbaum and Gregor
Zimmermann and Andreas Kroll},
 booktitle = {33. Workshop Computational Intelligence},
 doi = {10.5445/KSP/1000162754},
 language = {english},
 month = {23.--24. November},
 mrtnote = {nopeer,talk:fr,EEpBeton},
 organization = {Workshop CI},
 owner = {fr},
 pages = {215--237},
 publisher = {KIT Scientific Publishing},
 title = {Holistic Modeling of Ultra-High Performance Concrete Production Process: Synergizing Mix Design, Fresh Concrete Properties
and Curing
Conditions},
 url = {https://doi.org/10.5445/KSP/1000162754},
 year = {2023}
}

@inproceedings{RezazadehSSCI2023,
 address = {Mexico City, Mexico},
 author = {Farzad Rezazadeh and Axel Dürrbaum and Gregor
Zimmermann and Andreas Kroll},
 booktitle = {2023 IEEE Symposium Series on Computational
Intelligence (SSCI)},
 doi = {10.1109/SSCI52147.2023.10371800},
 language = {english},
 month = {5.-8. Dezember},
 mrtnote = {nopeer,EEpBeton},
 organization = {IEEE (SSCI)},
 owner = {fr},
 pages = {180-187},
 publisher = {IEEE Press},
 title = {Leveraging Ensemble Structures to Elucidate the Impact of Factors that Influence the Quality of Ultra–High Performance
Concrete},
 url = {https://ieeexplore.ieee.org/document/10371800},
 year = {2023}
}

@inproceedings{2023-ad_fr_ak_-Senors_2023-SFT_Camera,
 address = {Vienna, Austria},
 author = {Axel Dürrbaum and Farzad Rezazadeh and Andreas
Kroll},
 booktitle = {IEEE Sensors 2023},
 doi = {10.1109/SENSORS56945.2023.10325030},
 language = {english},
 month = {30. October},
 mrtnote = {peer,talk:Dürrbaum,EEpBeton},
 organization = {IEEE},
 owner = {duerrbaum},
 title = {Automatic Camera-based advanced Slump FlowTesting
for Improved Reliability},
 url = {https://ieeexplore.ieee.org/document/10325030},
 year = {2023}
}

@article{Wegener_HTM2021,
 author = {Thomas Wegener and Alexander Liehr and Artjom Bolender and Sebastian Degener and Felix Wittich and Andreas Kroll and Thomas
Niendorf},
 doi = {https://doi.org/10.1515/htm-2021-0023},
 journal = {HTM Journal of Heat Treatment and Materials},
 language = {english},
 mrtnote = {peer, HartDrehen},
 number = {2},
 owner = {wittich},
 pages = {156 -- 172},
 timestamp = {2021.11.07},
 title = {Calibration and validation of micromagnetic data for non-destructive analysis of near-surface properties after hard
turning},
 volume = {77},
 year = {2022}
}

@inproceedings{SchrammQIRT2022,
 address = {Paris, Frankreich},
 author = {Schramm, Sebastian and Ebert, Jannik and Schmoll,
Robert and Kroll, Andreas},
 booktitle = {16th Quantitative InfraRed Thermography Conference
(QIRT)},
 language = {english},
 month = {4.-8. Juli},
 mrtnote = {nopeer,ThermoFusion},
 owner = {schramm},
 title = {Compensating the Size-of-Source Effect: Relationship between the MTF and a Data-Driven Convolution Filter Approach},
 year = {2022}
}

@article{SchmollJSSS2021,
 author = {Schmoll, Robert and Schramm, Sebastian and
Breitenstein, Tom and Kroll, Andreas},
 doi = {10.5194/jsss-11-41-2022},
 journal = {Journal of Sensors and Sensor Systems (JSSS)},
 owner = {schmoll},
 pages = {41--49},
 title = {Method and Experimental Investigation of Surface Heat Dissipation Measurement using 3D
Thermography},
 url = {https://jsss.copernicus.org/articles/11/41/2022/},
 volume = {11},
 year = {2022}
}

@article{2022-MH-at-MPC,
 abstract = {In diesem Beitrag wird eine Methode zum Entwurf von Testsignalen für die Identifikation lokal-affiner dynamischer Takagi-Sugeno-SISO-Modelle vorgestellt. Diese Methode verwendet ein zuvor identifizierten Prozessmodell und nutzt so erlangtes Wissen über die Struktur mittels modellprädiktiver Regelung aus. Im Rahmen einer akademischen Fallstudie wird die Methode demonstriert.},
 author = {Matthias Himmelsbach and Andreas Kroll},
 doi = {10.1515/auto-2021-0043},
 journal = {at -- Automatisierungstechnik},
 journaltitle = {Computational Intelligence},
 keywords = {Takagi-Sugeno-Modelle; optimaler Experimententwurf; Testsignalentwurf; modellprädiktive
Regelung},
 language = {german},
 mrtnote = {peer,OED},
 number = {2},
 owner = {himmelsbach},
 pages = {119--133},
 pubstate = {submitted},
 timestamp = {2020.11.06},
 title = {Zum strukturvorwissensbasierten Testsignalentwurf mittels Vorsteuerung für die Identifikation von Takagi-Sugeno-Modellen},
 volume = {70},
 year = {2022}
}

@inproceedings{Wittich_WCCI_2022,
 address = {Padua, Italy},
 author = {Felix Wittich and Andras Kroll},
 booktitle = {Proceedings of the IEEE International Conference on Fuzzy Systems (FUZZ-IEEE
2022)},
 doi = {10.1109/FUZZ-IEEE55066.2022.9882729},
 month = {18.-23. July},
 owner = {wittich},
 timestamp = {2022.04.27},
 title = {Approximation of the Feasible Parameter Set in Bounded-Error Parameter Estimation of Takagi-Sugeno Fuzzy Models for Large Problems by Using a Ray Shooting
Method},
 url = {https://doi.org/10.1109/FUZZ-IEEE55066.2022.9882729},
 year = {2022}
}

@inproceedings{RezazadehGMACI2022,
 address = {Berlin, Germany},
 author = {Farzad Rezazadeh and Andreas Kroll},
 booktitle = {32. Workshop Computational Intelligence},
 date = {2022},
 doi = {10.5445/KSP/1000151141},
 location = {Berlin},
 month = {1.-2. December},
 mrtnote = {nopeer,EEpBeton},
 organization = {GMA-FA 5.14},
 owner = {rezazadeh},
 pages = {53-75},
 publisher = {KIT Scientific Publishing},
 timestamp = {2021.08.24},
 title = {Predicting the compressive strength of concrete up to 28 days-ahead: Comparison of machine learning algorithms on benchmark
datasets},
 url = {https://doi.org/10.5445/KSP/1000151141},
 year = {2022}
}

@article{ADDMA2021,
 author = {Engelhardt, A. and Kahl, M. and Richter, J. and Krooß, P. and Kroll, A. and Niendorf

T.},
 doi = {https://doi.org/10.1016/j.addma.2022.102858},
 issn = {2214-8604},
 journal = {Additive Manufacturing},
 mrtnote = {peer, DigiWerk},
 owner = {duerrbaum},
 publisher = {Elsevier},
 timestamp = {2022.04.27},
 title = {Investigation of processing windows in additive manufacturing of AlSi10Mg for faster production utilizing data-driven
modelling},
 url = {https://www.sciencedirect.com/science/article/pii/S2214860422002573},
 volume = {55},
 year = {2022}
}

@inproceedings{Rehmer-CCTA-2022,
 abstract = {Recurrent Neural Networks are applied in areas such as speech recognition, natural language and video processing, and the identification of nonlinear state space models. Conventional Recurrent Neural Networks, e.g. the Elman Network, are hard to train. A more recently developed class of recurrent neural networks, so-called Gated Units, outperform their counterparts on virtually every task. This paper aims to provide additional insights into the differences between RNNs and Gated Units in order to explain the superior perfomance of gated recurrent units. It is argued, that Gated Units are easier to optimize not because they solve the vanishing gradient problem, but because they circumvent the emergence of large local gradients.},
 address = {Trieste, Italy},
 author = {Alexander Rehmer and Marco Klute and Andreas Kroll
and Hans-Peter Heim},
 booktitle = {6th IEEE Conference on Control Technology and
Applications (CCTA)},
 journal = {IFAC-PapersOnLine},
 language = {english},
 month = {22.-25- August},
 mrtnote = {peer,IdRNN},
 organization = {IFAC},
 owner = {rehmer},
 pages = {1427-1432},
 publisher = {Elsevier},
 timestamp = {2019.11.25},
 title = {An internal dynamics approach to predicting batch-end product quality in plastic injection molding using Recurrent Neural
Networks},
 volume = {53},
 year = {2022}
}

@inproceedings{Rehmer-ICSTCC-2022,
 abstract = {Recurrent Neural Networks are applied in areas such as speech recognition, natural language and video processing, and the identification of nonlinear state space models. Conventional Recurrent Neural Networks, e.g. the Elman Network, are hard to train. A more recently developed class of recurrent neural networks, so-called Gated Units, outperform their counterparts on virtually every task. This paper aims to provide additional insights into the differences between RNNs and Gated Units in order to explain the superior perfomance of gated recurrent units. It is argued, that Gated Units are easier to optimize not because they solve the vanishing gradient problem, but because they circumvent the emergence of large local gradients.},
 address = {Sinaia, Romania},
 author = {Alexander Rehmer and Andreas Kroll},
 booktitle = {Proceedings of the 26th International Conference on System Theory
Control and Computing
(ICSTCC)},
 journal = {IFAC-PapersOnLine},
 language = {english},
 month = {19.-21- October},
 mrtnote = {peer,IdRNN},
 owner = {rehmer},
 pages = {446-451},
 timestamp = {2019.11.25},
 title = {On affine quasi-LPV System Identification with unknown state-scheduling using (deep) Recurrent Neural
Networks},
 year = {2022}
}

@inproceedings{RehmerGMACI2022,
 address = {Berlin},
 author = {Alexander Rehmer and Andreas Kroll},
 booktitle = {32. Workshop Computational Intelligence},
 date = {2022},
 location = {Berlin},
 month = {1. - 2. Dezember 2022},
 mrtnote = {nopeer, IdRNN},
 organization = {GMA-FA 5.14},
 owner = {rehmer},
 pages = {133-150},
 publisher = {KIT Scientific Publishing},
 timestamp = {2021.08.24},
 title = {Eine Python-Toolbox zur datengetriebenen Modellierung des Spritzgieprozsses und Lösung von Optimalsteuerungsproblemen zur Steuerung der Bauteilqualität},
 url = {https://library.oapen.org/handle/20.500.12657/59840?show=full},
 year = {2022}
}

@inproceedings{RehmerECC2022_2,
 address = {London, UK},
 author = {Alexander Rehmer and Andreas Kroll},
 booktitle = {Preprints of the 20th European Control Conference
(ECC)},
 month = {12.-15. July},
 mrtnote = {peer,IdRNN},
 owner = {gringard},
 pages = {566-571},
 timestamp = {2017.12.13},
 title = {A Deep Recurrent Neural Network model for affine
quasi-LPV System identification},
 year = {2022}
}

@inproceedings{Rehmer_WCCI_2022,
 address = {Padua, Italy},
 author = {Alexander Rehmer and Andras Kroll},
 booktitle = {Preprints of the International Joint Conference on
Neural Networks (IJCNN 2022)},
 month = {18.-23. July},
 mrtnote = {nopeer,IdRNN},
 owner = {duerrbaum},
 pages = {1-8},
 timestamp = {2022.03.29},
 title = {The effect of the forget gate on bifurcation boundaries and dynamics in Recurrent Neural Networks and its implications for gradient-based optimization},
 year = {2022}
}

@article{2021-Dierks_Kroll-RSE-Remote_Quantification_methane_leaks,
 abstract = {Gas leaks can occur not only in industrial environments such as refineries but also in biogas plants. The main compound of the emitted biogas is methane, which is a greenhouse gas with a higher global warming potential than carbon dioxide (CO 2 ). Considering that the climate change and the reduction of greenhouse gases are becoming more and more important, it is crucial to be able to not only localize but also to quantify methane leakages. Based on the quantification of methane leakages, not only the effect of the effluent gases to the atmosphere but also the economic loss can be estimated. Another aspect is safety: biogas consists of different gases, mainly methane which can create an explosive mixture with air, but also hydrogen sulphide, which is toxic. This motivates remotely measuring the gas emissions. In this paper a remote measurement system and model is presented to estimate the methane volume flow due to a leak based on infrared optical sensors and sensor data fusion. The sensors are calibrated and the system is tested in the laboratory as well as in biogas plants. The laboratory results show that the measurement model allows an estimation of the methane volume flow if the assumptions of the measurement model are met. The highest relative deviations occur for small reference methane volume flows while the absolute deviations are similar. In contrast to the laboratory measurements the results of the measurements in biogas plants show partially high deviations from the reference. These deviations can have multiple reasons which cannot be determined for each single case because many of them occur at the same time. Future work includes improvements in order to reduce the deviations of the methane volume flow estimation. This could be done not only by improving the processing steps of the velocity estimation but also by using more accurate sensors},
 author = {Sören Dierks and Andreas Kroll},
 date = {2021-09-21},
 doi = {https://doi.org/10.1080/01431161.2021.1959956},
 journal = {International Journal of Remote Sensing},
 language = {englisch},
 mrtnote = {peer},
 number = {20},
 owner = {duerrbaum},
 pages = {7978–-8003},
 timestamp = {2020.12.18},
 title = {Remote quantification of methane leaks in the
laboratory and in biogas plants},
 volume = {42},
 year = {2021}
}

@article{Schramm2021JSSS,
 author = {Sebastian Schramm and Jannik Ebert and Johannes Rangel and Robert Schmoll and Andreas
Kroll},
 doi = {10.5194/jsss-10-207-2021},
 journal = {Journal of Sensors and Sensor Systems (JSSS)},
 mrtnote = {peer, ThermoFusion},
 pages = {207--218},
 title = {Iterative feature detection of a coded checkerboard target for the geometric calibration of infrared cameras},
 url = {https://jsss.copernicus.org/articles/10/207/2021/},
 volume = {10},
 year = {2021}
}

@article{SchrammRangel2021,
 author = {Schramm, Sebastian and Rangel, Johannes and Aguirre Salazar, Daniela and Schmoll, Robert and Kroll, Andreas},
 doi = {10.1109/JSEN.2020.3019959},
 journal = {IEEE Sensors Journal},
 mrtnote = {peer,Gas3D, ThermoFusion},
 number = {2},
 pages = {2159-2168},
 title = {Target Analysis for the Multispectral Geometric Calibration of Cameras in Visual and Infrared Spectral
Range},
 url = {https://ieeexplore.ieee.org/document/9178752},
 volume = {21},
 year = {2021}
}

@article{Schramm2021QIRT,
 abstract = {In recent years, due to the availability of affordable 3D sensors and the increased computing power, various methods for the generation of 3D thermograms have been developed. 3D thermal imaging describes the fusion of geometry and temperature data. A well-established approach is the fusion of data from depth and long-wave infrared (LWIR) cameras. However, these models generated in real-time have the limitation that the model size is limited due to inefficient data storage approach. Newer algorithms from Computer Vision promise to overcome this limitation by more efficient data handling and storage. Within this work, three state of the art 3D reconstruction algorithms from the computer vision community are compared and one of these is extended by overlaying thermal data, which allows the creation of large-scale 3D thermograms with a portable 3D measurement system. For this purpose, a geometric calibration is required, the data structure is adapted, and the handling of cyclic non-uniformity corrections required for uncooled LWIR cameras is described. The results will show exemplary 3D thermograms and the advantages compared to current existing systems.},
 author = {Schramm, Sebastian and Osterhold, Phil and Schmoll,
Robert and Kroll, Andreas},
 doi = {10.1080/17686733.2021.1991746},
 journal = {Quantitative InfraRed Thermography Journal},
 keywords = {3D thermal imaging; sensor data fusion; LWIR; NIR;3D
reconstruction},
 language = {english},
 mrtnote = {peer, ThermoFusion},
 number = {5},
 pages = {295--311},
 title = {Combining Modern 3D Reconstruction and Thermal Imaging: Generation of Large-Scale 3D Thermograms in Real-Time},
 volume = {19},
 year = {2021}
}

@techreport{Schramm2021WIPANO,
 address = {Universität Kassel},
 author = {Schramm, Sebastian and Kahl, Matthias and Kroll
Andreas},
 institution = {FG Mess- und Regelungstechnik},
 month = {August},
 mrtnr = {TR-031},
 owner = {schramm},
 timestamp = {2021.08.27},
 title = {Experimentelle messtechnische Charakterisierung der Emissionsgradbestimmung mittels
3D-Thermografie},
 type = {Abschlussbericht},
 url = {https://www.tib.eu/de/suchen/id/TIBKAT:1777149630},
 year = {2021}
}

@inproceedings{SchmollSMSI2021,
 address = {online},
 author = {Schmoll, Robert and Schramm, Sebastian and
Breitenstein, Tom and Kroll, Andreas},
 booktitle = {Sensor and Measurement Science International
Conference (SMSI) 2021},
 doi = {10.5162/SMSI2021/C2.4},
 month = {03.-06. May},
 organization = {AMA Verband für Sensorik und Messtechnik e.V.},
 owner = {schmoll},
 pages = {187--188},
 timestamp = {2021.01.06},
 title = {3D Thermography for the Measurement of Surface Heat
Dissipation},
 url = {https://www.ama-science.org/proceedings/details/4005},
 year = {2021}
}

@article{2021-Kroll-Automatisierungstechnik-CI,
 author = {Ralf Mikut and Andreas Kroll and Horst Schulte},
 doi = {https://doi.org/10.1515/auto-2021-0124},
 editor = {Ralf Mikut},
 journal = {at -- Automatisierungstechnik},
 language = {german},
 mrtnote = {nopeer,pke},
 note = {Editorial},
 number = {10},
 owner = {duerrbaum},
 pages = {817--819},
 timestamp = {2012.10.08},
 title = {Ausgewählte Beiträge aus dem GMA-Fachausschuss 5.14. "Computational
Intelligence"},
 volume = {69},
 year = {2021}
}

@article{2021-Himmelsbach-IJFS,
 abstract = {This paper is concerned with the analysis of optimization procedures for optimal experiment design for locally affine Takagi-Sugeno (TS) fuzzy models based on the Fisher Information Matrix (FIM). The FIM is used to estimate the covariance matrix of a parameter estimate. It depends on the model parameters as well as the regression variables. Due to the dependency on the model parameters good initial models are required. Since the FIM is a matrix, a scalar measure of the FIM is optimized. Different measures and optimization goals are investigated in three case studies.},
 author = {Matthias Himmelsbach and Andreas Kroll},
 doi = {10.1007/s40815-021-01185-9},
 journal = {International Journal of Fuzzy Systems},
 keywords = {Optimal experiment design; Fisher information matrix; Takagi-Sugeno models; Nonlinear system identification},
 language = {english},
 mrtnote = {peer,OED},
 number = {2},
 owner = {gringard},
 pages = {1012--1024},
 timestamp = {2020.12.22},
 title = {On optimal test signal design and parameter identification schemes for dynamic {T}akagi-{S}ugeno fuzzy models using the {F}isher information
matrix},
 volume = {24},
 year = {2021}
}

@inproceedings{KistnerGMACI2021,
 author = {Lars Kistner and Andreas Kroll},
 booktitle = {31. Workshop Computational Intelligence},
 date = {2021},
 doi = {10.5445/KSP/1000138532},
 location = {Berlin},
 month = {25.-26. November},
 mrtnote = {nopeer, GPM},
 organization = {GMA-FA 5.14},
 owner = {kistner},
 pages = {79-90},
 publisher = {KIT Scientific Publishing},
 timestamp = {2021.08.24},
 title = {Systemidentifikation und Simulation nichtlinearer dynamischer Systeme mit Gaußschen Prozessmodellen mit näherungsweiser Rückführung normalverteilter Ausgangsgrößen},
 url = {https://doi.org/10.5445/KSP/1000138532},
 year = {2021}
}

@article{kahl2021ident2dt,
 article-number = {2050},
 author = {Kahl, Matthias and Schramm, Sebastian and Neumann,
Max and Kroll, Andreas},
 doi = {10.3390/met11122050},
 issn = {2075-4701},
 journal = {Metals},
 mrtnote = {peer, DigiWerk},
 number = {12},
 publisher = {Multidisciplinary Digital Publishing Institute},
 title = {Identification of a Spatio-Temporal Temperature
Model for Laser Metal Deposition},
 url = {https://www.mdpi.com/2075-4701/11/12/2050},
 volume = {November},
 year = {2021}
}

@inproceedings{2021-Rangel-SPIE-Deep_Learning_Optical_Flow,
 author = {Johannes Rangel and Juan Duenas and Robert Schmoll
and Andreas Kroll},
 booktitle = {Conference on Automated Visual Inspection and
Machine Vision IV},
 doi = {10.1117/12.2591903},
 language = {english},
 mrtnote = {nopeer},
 organization = {SPIE. International Society for optics and
photonics},
 owner = {duerrbaum},
 pubstate = {accepted},
 subtitle = {SPIE Optical Metrology},
 timestamp = {2021.01.06},
 title = {On Evaluating deep-learning-based Optical Flow Methods for Gas Velocity Estimation with Optical Gas Imaging
Cameras},
 url = {https://spie.org/EOM/conferencedetails/automated-visual-inspection},
 year = {2021}
}

@article{rangel_IEEEsensors_2020,
 author = {J. Rangel and R. Schmoll and A. Kroll},
 doi = {https://doi.org/10.1109/JSEN.2020.3042116},
 issn = {1530-473X},
 journal = {IEEE Sensors Journal},
 mrtnote = {peer,Gas3D},
 number = {5},
 owner = {duerrbaum},
 pages = {6811 -- 6820},
 timestamp = {2020.06.26},
 title = {Catadioptric Stereo Optical Gas Imaging System for Scene Flow Computation of Gas
Structures},
 url = {https://ieeexplore.ieee.org/document/9277592},
 volume = {21},
 year = {2021}
}

@inproceedings{WittichGMACI2021,
 author = {Felix Wittich and Andreas Kroll},
 booktitle = {31. Workshop Computational Intelligence},
 date = {2021},
 location = {Berlin},
 month = {25.-26. November},
 mrtnote = {nopeer, HartDrehen},
 organization = {GMA-FA 5.14},
 owner = {wittich},
 pages = {79-90},
 publisher = {KIT Scientific Publishing},
 timestamp = {2021.08.24},
 title = {Approximation der zulässigen Parametermenge bei der Bounded-Error-Schätzung durch ein Ray-Shooting-Verfahren},
 url = {https://doi.org/10.5445/KSP/1000138532},
 year = {2021}
}

@article{2021-FW-at-BE_TS_Methods,
 abstract = {In data-driven modeling besides the point estimate of the model parameters, an estimation of the parameter uncertainty is of great interest. For this, bounded error parameter estimation methods can be used. These are particularly interesting for problems where the stochastical properties of the random effects are unknown and cannot be determined. In this paper, different methods for obtaining a feasible parameter set are evaluated for the use with Takagi-Sugeno models. Case studies with simulated data and with measured data from a manufacturing process are presented.},
 author = {Felix Wittich and Andreas Kroll},
 journal = {at -- Automatisierungstechnik},
 journaltitle = {Computational Intelligence},
 language = {english},
 mrtnote = {peer,HartDrehen},
 number = {10},
 owner = {wittich},
 pages = {836--847},
 timestamp = {2020.11.06},
 title = {Evaluation of methods for feasible parameter set estimation of Takagi-Sugeno models for nonlinear regression with bounded
errors},
 url = {https://www.degruyter.com/document/doi/10.1515/auto-2020-0157/html},
 volume = {69},
 year = {2021}
}

@inproceedings{Schott_CIRP2020,
 address = {Sheffield, UK},
 author = {Christopher Schott and Felix Wittich and Andreas
Kroll and Thomas Niendorf},
 booktitle = {Procedia CIRP},
 doi = {10.1016/j.procir.2020.10.002},
 language = {english},
 mrtnote = {peer, HartDrehen, 3MA},
 owner = {wittich},
 pages = {1-4},
 timestamp = {2020.02.10},
 title = {Prediction of near surface residual stress states for hard turned specimens using data driven nonlinear
models},
 url = {https://www.sciencedirect.com/science/article/pii/S2212827121006429},
 volume = {101},
 year = {2021}
}

@article{2021-Duerrbaum-at-Forum_TS_Toolbox,
 author = {Axel Dürrbaum and Matthias Kahl and Matthias
Himmelsbach and Andreas Kroll},
 doi = {https://doi.org/10.1515/auto-2021-0079},
 journal = {at -- Automatisierungstechnik},
 journaltitle = {Computational Intelligence},
 language = {german},
 mrtnote = {nopeer, FuzzyIdControl},
 number = {Oktober},
 owner = {duerrbaum},
 pages = {915--916},
 subtitle = {Forumsbeitrag},
 timestamp = {2020.09.11},
 title = {Toolbox zur Identifikation von
Takagi-Sugeno-Fuzzy-Modellen},
 volume = {69},
 year = {2021}
}

@techreport{2021-Abschlusschlussbericht-DFG-Testsignalentwurf,
 address = {Universität Kassel},
 author = {Andreas Kroll and Matthias Himmelsbach},
 institution = {FG Mess- und Regelungstechnik},
 language = {german},
 number = {KR3795/7-1},
 owner = {himmelsbach},
 pagetotal = {17},
 timestamp = {2021.08.24},
 title = {Zum optimalen Testsignalentwurf für die Identifkation regelungsorientierter dynamischer empirischer lokal linear-affiner
Multi-Modelle},
 type = {Schlussbericht},
 year = {2021}
}

@article{2021-Kroll_Fischer-at-Approx_Max_Likelihood_TS_Modelle,
 abstract = {Ist Wissen über die stochastischen Eigenschaften eines dynamischen Prozesses verfügbar, so kann dies zur Verbesserung der Modellparameterschätzung erücksichtigt werden. Dabei trifft die oft gemachte Annahme i.i.d. normalverteilter Zufallsgrößen bei technischen Systemen häufig nicht zu. Im Beitrag werden deshalb die Dichtefunktionen der Zufallsgrößen als Gaußsche Mischmodelle mittels eines Multistart-Expectation-Maximization-Algorithmus geschätzt. Da die Residualdichtefunktionen zu Beginn der Identifikation nicht verfügbar sind, werden diese aus der Streuung von Wiederholexperimenten approximativ ermittelt und zur Maximum-Likelihood-Schätzung von Takagi-Sugeno-Modellen genutzt. Wegen der ausgeprägten Multimodalität der resultierenden Likelihood-Funktion wird dazu Partikelschwarm-Optimierung eingesetzt. Die Vorgehensweise wird an einem industriellen servo-pneumatischen Linearantrieb demonstriert.},
 author = {Andreas Kroll and Jana Fischer},
 doi = {https://doi.org/10.1515/auto-2020-0142},
 journal = {at -- Automatisierungstechnik},
 journaltitle = {Computational Intelligence},
 language = {german},
 mrtnote = {peer,FuzzyIdControl},
 number = {10},
 owner = {duerrbaum},
 pages = {858--869},
 timestamp = {2020.09.11},
 title = {Zur approximativen Maximum-Likelihood-Schätzung dynamischer Multi-Modelle vom Typ Takagi-Sugeno: Methodik und Anwendung auf einen Servo-Pneumatikantrieb},
 volume = {69},
 year = {2021}
}

@techreport{Dierks2019,
 address = {Universität Kassel},
 author = {Sören Dierks and Stephan Rosendahl and Carsten Supply and Andreas Kroll and Stefanie Retz and Oliver
Hensel},
 institution = {FG Mess- und Regelungstechnik},
 language = {german},
 month = {Februar},
 owner = {schmoll},
 timestamp = {2021.08.24},
 title = {Quantifizierung klimarelevanter Gasleckagen bei
Biogasanlagen -- Felderprobung},
 type = {Abschlussbericht},
 url = {https://www.dbu.de/OPAC/ab/DBU-Abschlussbericht-AZ-31314_02-Hauptbericht.pdf},
 year = {2020}
}

@article{2020-SD-TM-Eval_Gasgeschwindigkeit,
 abstract = {In diesem Beitrag werden verschiedene Verfahren zur Bestimmung des optischen Flusses auf ihre Eignung zur Bestimmung von Gasgeschwindigkeiten hin untersucht. Dazu werden die Verfahren auf Differenzbilder einer sogenannten Gaskamera angewandt, um eine mittlere Gasgeschwindigkeit zu bestimmen. Mit einem Prüfstand im Laborumfeld werden die Verfahrencharakterisiert und abschließend wird die Messunsicherheita bgeschätzt.},
 author = {Sören Dierks and Andreas Kroll},
 date = {2019-12-11},
 doi = {10.1515/teme-2019-0078},
 journal = {TM -- Technisches Messen},
 language = {german},
 mrtnote = {peer,Biogas},
 number = {1},
 owner = {duerrbaum},
 pages = {66--77},
 timestamp = {2019.06.03},
 title = {Evaluierung von Verfahren zur optischen Bestimmung
von Gasgeschwindigkeiten},
 url = {https://www.degruyter.com/view/j/teme.ahead-of-print/teme-2019-0078/teme-2019-0078.xml},
 volume = {87},
 year = {2020}
}

@inproceedings{SS_QIRT2020,
 address = {Porto, Portugal},
 author = {Schramm, Sebastian and Osterhold, Phil and Schmoll,
Robert and Kroll, Andreas},
 booktitle = {15th Quantitative InfraRed Thermography Conference
(QIRT)},
 doi = {10.21611/qirt.2020.008},
 language = {english},
 month = {6.-10. Juli},
 mrtnote = {nopeer,ThermoFusion},
 owner = {schramm},
 timestamp = {2019.12.16},
 title = {Generation of Large-Scale 3D Thermograms in Real-Time Using Depth and Infrared
Cameras},
 url = {https://qirt.org/archives/qirt2020/papers/008.pdf},
 year = {2020}
}

@inproceedings{Kahl-IFAC-2020,
 abstract = {In this paper, the problem of order selection for nonlinear dynamical Takagi-Sugeno (TS) fuzzy models is adressed. It is solved by reformulating the TS model in its Linear Parameter Varying (LPV) form and applying an extension of a recently proposed Regularized Least Squares Support Vector Machine (R-LSSVM) technique for LPV models. For that, a nonparametric formulation of the TS identi cation problem is proposed which uses data-dependent basis functions. By doing so, the partition of unity of the TS model is preserved and the scheduling dependencies of the model are obtained in a nonparametric manner. For the local order selection, a regularization approach is used which forces the coeffcient functions of insignifcant values of the lagged input and output towards zero.},
 address = {Berlin, Germany},
 author = {Matthias Kahl and Andreas Kroll},
 booktitle = {21th IFAC World Congress},
 journal = {IFAC-PapersOnLine},
 language = {english},
 mrtnote = {peer,SFS_TS},
 number = {2},
 organization = {IFAC},
 owner = {duerrbaum},
 pages = {1182--1187},
 publisher = {Elsevier},
 timestamp = {2019.11.25},
 title = {Extending Regularized Least Squares Support Vector Machines for Order Selection of Dynamical Takagi-Sugeno
Models},
 volume = {53},
 year = {2020}
}

@inproceedings{HimmelsbachGMACI2020,
 address = {Berlin},
 author = {Matthias Himmelsbach and Andreas Kroll},
 booktitle = {30. Workshop Computational Intelligence},
 month = {26.-27. November},
 mrtnote = {nopeer,FuzzyT2,pke,OED},
 organization = {GMA-FA 5.14},
 owner = {gringard},
 publisher = {KIT Scientific Publishing},
 timestamp = {2020.08.18},
 title = {Toolbox zum Testsignalentwurf für Standardtestsignale für die Identifikation von Eingrößensystemen: Prozessmodellfreie und -basierte Methoden},
 url = {https://www.rst.e-technik.tu-dortmund.de/cms/de/Veranstaltungen/GMA-Fachausschuss/index.html},
 year = {2020}
}

@inproceedings{GringardIFAC2020,
 abstract = {In this contribution the optimal experiment design for the identification of linear affine Takagi-Sugeno (TS) models is discussed. The parameters of these models can be separated into local model and partition parameters which also allows for a separation of the design. The presented optimal design is based on the Fisher Information Matrix (FIM) and its objective is to minimize the parameter estimation uncertainty. In this contribution parameters of a standard test signal type (multi-step) are optimized to achieve this objective. The effectivity of FIM-based designs for nonlinear models depends on initial identification including structural decisions. The general functionality of the presented method is demonstrated on a case study.},
 address = {Berlin, Germany},
 author = {Matthias Gringard and Andreas Kroll},
 booktitle = {21st IFAC World Congress},
 language = {english},
 month = {12-17. July},
 mrtnote = {peer,OED},
 number = {2},
 organization = {IFAC},
 owner = {gringard},
 pages = {1200-1205},
 publisher = {Elsevier},
 timestamp = {2017.12.13},
 title = {On considering the output in space-filling test signal designs for the identification of dynamic {T}akagi-{S}ugeno
models},
 url = {https://www.ifac2020.org/},
 volume = {53},
 year = {2020}
}

@inproceedings{Rangel2020,
 address = {Snowmass Village, Colorado, USA},
 author = {J. Rangel and R. Schmoll and A. Kroll},
 booktitle = {IEEE Winter Conference on Applications of Computer
Vision (WACV 2020)},
 doi = {10.1109/WACV45572.2020.9093630},
 isbn = {978-1-7281-6554-7},
 month = {2.-5. März},
 mrtnote = {peer,Gas3D},
 owner = {duerrbaum},
 pages = {174-182},
 timestamp = {2019.08.06},
 title = {On Scene Flow Computation of Gas Structures with
Optical Gas Imaging Cameras},
 url = {https://ieeexplore.ieee.org/document/9093630},
 year = {2020}
}

@article{2020-FW-TM-BE_GPR_HardTurning,
 abstract = {In this article, two data-driven modeling approaches are investigated, which allow an explicit modeling of uncertainty. For this purpose, parametric Takagi-Sugeno multi-models with bounded-error parameter estimation and nonparametric Gaussian process regression are applied and compared. These models can for instance be used for robust model-based control design. As an application, the prediction of residual stresses during hard turning depending on the machining parameters and the initial hardness is considered.},
 author = {Felix Wittich and Lars Kistner and Andreas Kroll and Christopher Schott and Thomas
Niendorf},
 doi = {10.1515/teme-2020-0057},
 journal = {tm -- Technisches Messen},
 language = {english},
 mrtnote = {peer,HartDrehen},
 owner = {wittich},
 pages = {732-741},
 timestamp = {2020.10.16},
 title = {On data-driven nonlinear uncertainty modeling: Methods and application for control-oriented surface condition prediction in hard
turning},
 url = {https://doi.org/10.1515/teme-2020-0057},
 volume = {87},
 year = {2020}
}

@article{2020-Kroll_Schrodt-wak-Rezyklat_ML,
 abstract = {Mit Hilfe von ML soll eine Echtzeitregelung in die Lage versetzt werden, nicht sortenreine Rezyklate wie Neugranulat spritzzugießen},
 author = {Elmar Moritzer and Matthias Hopp and Marius Wittke and Jochen Deuse and Ralph Richter and Jacqueline Schmitt and Lukas Schulte and Andreas Kroll and Alexander
Schrodt},
 issn = {1618-8357},
 journal = {WAK -- Jahresmagazin Ingenieurwissenschaften},
 journaltitle = {Im Fokus: Kunststofftechnik 2020},
 language = {german},
 owner = {duerrbaum},
 pages = {70 -- 73},
 timestamp = {2020.08.21},
 title = {Einsatz von maschinellem Lernen für die
Rezyklat-Verarbeitung},
 url = {https://institut-wv.de/jahresmagazin-ingenieurwissenschaften-im-fokus-kunststofftechnik/},
 year = {2020}
}

@article{Arengas_at2020,
 author = {David Arengas and Andreas Kroll},
 doi = {10.1515/auto-2019-0055},
 journal = {at -- Automatisierungstechnik},
 mrtnote = {peer,DS4SID,Search4UI},
 number = {5},
 owner = {arengas},
 pages = {347--359},
 timestamp = {2017.12.13},
 title = {Data Selection for System Identification (DS4SID) from Logged Process Records of Continuously Operated Plants},
 url = {https://www.degruyter.com/view/journals/auto/68/5/article-p347.xml},
 volume = {68},
 year = {2020}
}

@techreport{3D_Gas_Schlussbericht_2020,
 address = {Universität Kassel},
 author = {Andreas Kroll and Johannes Rangel},
 institution = {FG Mess- und Regelungstechnik},
 language = {german},
 month = {September},
 mrtnr = {TR-029},
 number = {TR-029},
 owner = {duerrbaum},
 timestamp = {2020.09.10},
 title = {Zur automatisierten 3D-Visualisierung und zum Tracken von gasförmigen Kohlen- wasserstoffen anhand räumlich-zeitlicher Informationen eines prototypischen katadioptrischen
Stereokamerasystems},
 type = {Schlussbericht},
 url = {https://www.tib.eu/de/suchen/id/TIBKAT:1738568482},
 year = {2020}
}

@inproceedings{Rehmer-IFAC-2020,
 abstract = {Recurrent Neural Networks are applied in areas such as speech recognition, natural language and video processing, and the identification of nonlinear state space models. Conventional Recurrent Neural Networks, e.g. the Elman Network, are hard to train. A more recently developed class of recurrent neural networks, so-called Gated Units, outperform their counterparts on virtually every task. This paper aims to provide additional insights into the differences between RNNs and Gated Units in order to explain the superior perfomance of gated recurrent units. It is argued, that Gated Units are easier to optimize not because they solve the vanishing gradient problem, but because they circumvent the emergence of large local gradients.},
 address = {Berlin, Germany},
 author = {Alexander Rehmer and Andreas Kroll},
 booktitle = {21th IFAC World Congress},
 journal = {IFAC-PapersOnLine},
 language = {english},
 month = {12.-17- July},
 mrtnote = {peer,IdRNN},
 number = {2},
 organization = {IFAC},
 owner = {rehmer},
 pages = {1243--1248},
 publisher = {Elsevier},
 timestamp = {2019.11.25},
 title = {On the vanishing and exploding gradient problem in
Gated Recurrent Units},
 volume = {53},
 year = {2020}
}

@techreport{2020-Kroll_ua-TB-PI2_NL_Dynamik,
 address = {Universität Kassel},
 author = {A. Kroll and A. Dürrbaum and A. Rehmer and
M. Gringard},
 institution = {FG Mess- und Regelungstechnik},
 language = {german},
 month = {September},
 mrtnote = {intern},
 mrtnr = {TR-028},
 owner = {duerrbaum},
 timestamp = {2017.06.29},
 title = {Task Force Nichtlineare Dynamik PI-II --
Abschlussbericht},
 type = {techreport},
 year = {2020}
}

@inproceedings{SS_ICST2019,
 address = {Sydney, Australia},
 author = {Sebastian Schramm and Robert Schmoll and Andreas
Kroll},
 booktitle = {13th International Conference on Sensing Technology
(ICST)},
 doi = {10.1109/ICST46873.2019.9047669},
 language = {english},
 month = {2.-4. Dezember},
 mrtnote = {peer,ThermoFusion},
 owner = {schramm},
 timestamp = {2017.11.14},
 title = {Compensation of the Size-of-Source Effect of Infrared Cameras Using Image Processing
Methods},
 url = {https://ieeexplore.ieee.org/document/9047669},
 year = {2019}
}

@article{2019-Kroll-Automatisierungstechnik-CI,
 author = {R. Mikut and A. Kroll and F. Hoffmann},
 doi = {10.5445/KSP/1000098736},
 editor = {Frank Hoffmann},
 journal = {at -- Automatisierungstechnik},
 language = {german},
 mrtnote = {nopeer,pke},
 note = {Editorial},
 number = {10},
 pages = {817--819},
 title = {Ausgewählte Beiträge aus dem GMA-Fachausschuss 5.14. "Computational
Intelligence"},
 volume = {67},
 year = {2019}
}

@article{GringardAT2019,
 author = {Matthias Gringard and Andreas Kroll},
 journal = {at -- Automatisierungstechnik},
 mrtnote = {peer,OED},
 number = {10},
 owner = {gringard},
 pages = {820--832},
 timestamp = {2017.12.13},
 title = {Zur Homogenisierung von Testsignalen für die
nichtlineare Systemidentifikation},
 volume = {67},
 year = {2019}
}

@misc{DPatent2019,
 abstract = {Gegenstand der Erfindung ist ein Verfahren und eine Vorrichtung zum Erzeugen eines dreidimensionalen Thermogramms einer Objektoberfläche (10), wobei das Verfahren wenigstens die folgenden Schritte umfasst:- Erfassen (100) von geometrischen Daten eines Objekts (1) und Erstellen eines dreidimensionalen Modells des Objekts (1) anhand der erfassten geometrischen Daten,- Erfassen (200) von Wärmestrahlungsmesswerten für Aufpunkte (11) auf der Objektoberfläche (10), wobei je Aufpunkt (11) eine Mehrzahl von Wärmestrahlungsmesswerten aus unterschiedlichen Blickrichtungen (30) auf die Objektoberfläche (10) erfasst wird,- Zuordnen (300) der Wärmestrahlungsmesswerte für die Aufpunkte (11) auf der Objektoberfläche zu Aufpunkten auf der zugehörigen Oberfläche des dreidimensionalen Modells des Objekts (1), wobei jedem Wärmestrahlungsmesswert ein Zenitwinkel (2) zwischen der Blickrichtung (30) und der Oberflächennormale (12) im zugehörigen Aufpunkt (11) zugeordnet wird,- Modellieren (400) des Emissionsgrades der Objektoberfläche (10) je Aufpunkt (11) anhand der Abhängigkeit der Wärmestrahlungsmesswerte von den zugehörigen Zenitwinkeln (2), und- Modellieren (500) der Temperatur der Objektoberfläche (10) je Aufpunkt (11) anhand der Wärmestrahlungsmesswerte, der Zenitwinkel (2) und des Emissionsgrades, und Ausgeben (501) des dreidimensionalen Thermogramms.},
 address = {Universität Kassel},
 assignee = {Universität Kassel},
 author = {Kroll, Andreas and Schramm, Sebastian},
 language = {german},
 mrtnote = {patent},
 nationality = {Deutsch},
 note = {EP 3742136 A1},
 number = {DE 10 2019 113 691 B4},
 owner = {schramm},
 title = {Verfahren und Vorrichtung zum Erzeugen eines
3D-Thermogramms},
 type = {Patent},
 url = {https://depatisnet.dpma.de/DepatisNet/depatisnet?action=bibdat&docid=DE102019113691B4},
 year = {2019}
}

@inproceedings{WittichSMC2019,
 address = {Bari, Italy},
 author = {Felix Wittich and Matthias Kahl and Andreas Kroll and Wolfgang Zinn and Thomas
Niendorf},
 booktitle = {IEEE International Conference on Systems, Man, and
Cybernetics (SMC 2019)},
 doi = {10.1109/SMC.2019.8914272},
 month = {06.-09. October},
 mrtnote = {peer,HartDrehen},
 organization = {IEEE},
 owner = {wittich},
 pages = {3235 -- 3240},
 timestamp = {2017.08.31},
 title = {On Nonlinear Empirical Modeling of Residual Stress
Profiles in Hard Turning},
 url = {https://doi.org/10.1109/SMC.2019.8914272},
 year = {2019}
}

@inproceedings{WittichGMA2019,
 address = {Dortmund},
 author = {Felix Wittich and Matthias Kahl and Andreas Kroll},
 booktitle = {29. Workshop Computational Intelligence},
 doi = {10.5445/KSP/1000098736},
 month = {28.-29. November},
 mrtnote = {nopeer,HartDrehen},
 organization = {GMA-FA 5.14},
 owner = {wittich},
 pages = {247-254},
 publisher = {KIT Scientific Publishing},
 timestamp = {2017.08.31},
 title = {Zur Schätzung zulässiger Parametermengen nichtlinearer Takagi-Sugeno-Multi-Modelle mit garantierten
Fehlerschranken},
 year = {2019}
}

@inproceedings{ArengasECC2019,
 abstract = {Experiments to collect data for system identification in industrial plants are constrained due to production and safety requirements. In such situations, logged historical data can be used for system identification instead. However, these recorded data are predominantly stationary in continuously operated plants since processes are seldom excited during normal operation. Performing system identification with such data will yield numerical problems. Alternately, the "most" informative sequences can be extracted and used for system identification. Current data selection methods have several drawbacks. They are constrained to Single-Input Single-Output (SISO) modeling problems. The methods are not robust against correlated noise which is a disadvantage when using real data sets. Moreover, setting design parameters requires some information about the process that is not always available. In this contribution, an alternative data selection method for system identification is presented and evaluated in a case study. In contrast to current approaches, the proposed method does not require data normalization to detect transient changes. It can be used in Multi-Input Single-Output (MISO) systems operating in open or closed loop. An instrumental variables (IV) method is used in the algorithm which provides robustness against non-white noise. Results from a simulation case study of a multivariable system show that models with similar accuracy are obtained when using the intervals retrieved by the data selection method as when using the entire data set.},
 address = {Naples, Italy},
 author = {David Arengas and Andreas Kroll},
 booktitle = {Proceedings of the 2019 European Control Conference
(ECC)},
 doi = {10.23919/ECC.2019.8796086},
 keywords = {Time-series analysis, multivariable system identification, instrumental variables, instrumental product moment matrix, information matrix, change detection},
 language = {english},
 month = {25.-28. Juni},
 mrtnote = {peer,Search4UI},
 organization = {IFAC},
 owner = {arengas},
 pages = {357--362},
 timestamp = {2018.11.14},
 title = {A Data Selection Method for large Databases for System Identification of MISO Models Based on Recursive Instrumental
Variables},
 url = {https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=87960862019},
 year = {2019}
}

@article{2019-Kroll-MoWiN.net-Jahresruecklick_2018,
 abstract = {Um die prämierte Modellfabrik µPlant der Universität Kassel wurde die neue Schulung Zukunftswerkstatt "Smart Factory" entwickelt. Sie soll neutral und aus der Perspektive der Produktion bewusstseinsbildend für den anstehenden Wandel in Folge der Digitalisierung wirken. Zudem soll ein Verständnis für die Potentiale zentraler Technologiebereiche der Smart Factory aufgebaut und eine Grundlage für die innerbetriebliche Auseinandersetzung mit dem anstehenden digitalen Wandel geschaffen werden.},
 author = {Andreas Kroll and Axel Dürrbaum},
 journal = {MoWiN.net Jahrerücklick 2018},
 language = {german},
 mrtnote = {muPlant,Presse,nopeer},
 note = {Presseartile},
 owner = {duerrbaum},
 pages = {50},
 timestamp = {2019.02.26},
 title = {Zukunftswerkstatt "Smart Factory"},
 url = {https://www.mowin.net/fileadmin/mowin/dokumente/Jahresrueckblick/2018/WEBVERSION_Jahresrueckblick_2018.pdf},
 year = {2019}
}

@conference{2019-Kroll-Talk-Digitale_Transformation,
 author = {Andreas Kroll},
 date = {2019.10.22},
 language = {german},
 mrtnote = {talk:kroll},
 note = {IHK Kassel-Marburg, 22. Oktober 2019},
 owner = {duerrbaum},
 timestamp = {2019.10.23},
 title = {Digitale Transformation -- Chancen und Fallstricke
technischer Daten},
 year = {2019}
}

@inproceedings{RehmerECC2019,
 abstract = {This paper is concerned with the test signal design for the identification of the partition parameters of locally affine Takagi-Sugeno-(TS-)Models. The basic idea is that data should be generated in local model transition areas in the scheduling space. A reference system output that represents the desired path in the scheduling space is forced upon the underlying system through a combination of a feed-forward and feedback control scheme. The system is then identified in an iterative closed-loop identification procedure. This method has been applied to an artificial system to demonstrate its potential.},
 address = {Naples, Italy},
 author = {Alexander Rehmer and Andreas Kroll},
 booktitle = {Preprints of the 18th European Control Conference
(ECC)},
 month = {25.-28. Juni},
 mrtnote = {peer,IdRNN},
 organization = {IFAC},
 owner = {rehmer},
 pages = {2504-2509},
 timestamp = {2018.11.14},
 title = {On Using Gated Recurrent Units for Nonlinear System
Identification},
 url = {https://www.ifac-control.org/events/european-control-conference-in-cooperation-with-ifac-ecc-2019},
 year = {2019}
}

@inproceedings{DierksSAS2018,
 address = {Seoul, Korea},
 author = {Sören Dierks and Andreas Kroll},
 booktitle = {IEEE Sensors Applications Symposium (SAS)},
 language = {english},
 month = {12.-14. März},
 mrtnote = {peer,BioGas},
 owner = {dierks},
 timestamp = {2017.11.14},
 title = {Experimental Characterization of a Tuneable Diode Laser Absorption Spectroscopy Based
Sensor},
 year = {2018}
}

@inbook{Dierks2018,
 author = {Sören Dierks and Andreas Kroll},
 chapter = {Schätzung von Gasgeschwindigkeiten aus Differenzbildserien einer Infrarotkamera zur Gasvisualisierung},
 doi = {10.1007/978-3-662-55232-2_15},
 editor = {Jasperneite, Jürgen and Lohweg, Volker},
 isbn = {978-3-662-55232-2},
 language = {german},
 mrtnote = {BioGas,nopeer},
 note = {Ausgewählte Beiträge der Jahreskolloquien {KommA} und {BVAu} 2016 zum 10-jährigen Jubiläum des {inIT}-Institut für industrielle Informationstechnik},
 owner = {dierks},
 pages = {188 -- 203},
 publisher = {Springer Berlin Heidelberg},
 timestamp = {2017.12.05},
 title = {Kommunikation und Bildverarbeitung in der
Automation},
 url = {https://doi.org/10.1007/978-3-662-55232-2_15},
 year = {2018}
}

@inproceedings{SS_SAS2018,
 address = {Seoul, Korea},
 author = {Sebastian Schramm and Johannes Rangel and Andreas
Kroll},
 booktitle = {IEEE Sensors Applications Symposium (SAS)},
 doi = {https://doi.org/10.1109/SAS.2018.8336740},
 language = {english},
 month = {12.-14. März},
 mrtnote = {peer,ThermoFusion},
 owner = {schramm},
 timestamp = {2017.11.14},
 title = {Data Fusion for 3D Thermal Imaging Using Depth and Stereo Camera for Robust
Self-localization},
 url = {https://ieeexplore.ieee.org/document/8336740/},
 year = {2018}
}

@inproceedings{GringardSYSID2018,
 abstract = {In this contribution the optimal experiment design for the identification of linear affine Takagi-Sugeno (TS) models is discussed. The parameters of these models can be separated into local model and partition parameters which also allows for a separation of the design. The presented optimal design is based on the Fisher Information Matrix (FIM) and its objective is to minimize the parameter estimation uncertainty. In this contribution parameters of a standard test signal type (multi-step) are optimized to achieve this objective. The effectivity of FIM-based designs for nonlinear models depends on initial identification including structural decisions. The general functionality of the presented method is demonstrated on a case study.},
 address = {Stockholm, Sweden},
 author = {Matthias Gringard and Andreas Kroll},
 booktitle = {18th IFAC Symposium on System Identification},
 month = {09-11. July},
 mrtnote = {peer,OED},
 organization = {IFAC},
 owner = {gringard},
 timestamp = {2017.12.13},
 title = {Optimal Experiment Design for Identifying Dynamical Takagi-Sugeno Models with Minimal Parameter Uncertainty},
 url = {https://www.ifac-control.org/events/system-identification-18th-sysid-2018},
 year = {2018}
}

@inproceedings{GringardGMA2018,
 address = {Dortmund},
 author = {Matthias Gringard and Andreas Kroll},
 booktitle = {28. Workshop Computational Intelligence},
 doi = {10.5445/KSP/1000085935},
 isbn = {9783731508458},
 month = {29.-30. November},
 mrtnote = {nopeer,FuzzyT2,pke,OED},
 organization = {GMA-FA 5.14},
 owner = {gringard},
 pages = {39 -- 60},
 publisher = {KIT Scientific Publishing},
 timestamp = {2017.08.31},
 title = {Zum optimalen Offline-Testsignalentwurf für die Identifikation dynamischer TS-Modelle: Steuerfunktionen zur optimalen Schätzung der Partitionsparameter},
 url = {https://www.rst.e-technik.tu-dortmund.de/cms/de/Veranstaltungen/GMA-Fachausschuss/index.html},
 year = {2018}
}

@inproceedings{2018-Kistner-Automation-Multi_Roboter_System,
 abstract = {Konventionelle Fahrerlose Transportsysteme (FTS) sind seit Jahrzehnten eine gängige Lösung für Intralogistikaufgaben [1]. Die Navigation orientiert sich oft an optischen, induktiven oder magnetischen "Spuren", die Änderungen der Routen aufwendig und kostspielig machen. Ein wichtiges Merkmal ist ein übergeordneter Sicherheitskreis, der diese anhält, falls beispielsweise ein (Laserscanner/Kontaktschalter-basiertes) Kollisionsschutz-System eingreift. Zudem werden die Spuren meist nur in eine Richtung benutzt und die Behandlung von auf der Strecke abgestellten Hindernissen erfolgt passiv und die Fahrgeschwindigkeit ist in Umgebungen mit vielen Menschen langsam. In Zukunft sollen FTS ähnlich autonomer Fahrzeuge im öffentlichen Straßenverkehr den gesamten freien Bereich zur Navigation nutzen, nicht an feste Spuren gebunden sein, Engstellen mit Gegenverkehr meistern, Hindernisse effizient umfahren, sich bei der Routenplanung mit anderen autonomen Systemen und anzufahrenden Stationen abstimmen und die Bewegung "chaotischer Verkehrsteilnehmer" abschätzen und berücksichtigen.},
 address = {Baden-Baden},
 author = {Lars Kistner and Axel Dürrbaum and Andreas Kroll},
 booktitle = {Automation 2018},
 howpublished = {Online},
 isbn = {978-3-18-092330-7},
 issn = {0083-5560},
 language = {deutsch},
 month = {3.-4. Juli},
 mrtnote = {muPlant,poster:kistner,nopeer},
 organization = {VDI/VDE-Gesellschaft Mess- und
Automatisierungstechnik (GMA)},
 publisher = {VDI Wissensforum GmbH},
 title = {Ein autonomes, mobiles Multi-Roboter-System für
Intralogistik in der Produktion},
 url = {https://www.vdi-nachrichten.com/wp-content/uploads/2019/09/11004_InhaltWebAutomation_2330.pdf},
 year = {2018}
}

@article{ECDA2018_full,
 author = {Kahl, Matthias and Kroll, Andreas},
 doi = {10.5445/KSP/1000087327/19},
 issn = {2363-9881},
 journal = {Archives of Data Science, Series A (Online First)},
 language = {english},
 mrtnote = {peer,SFS_TS},
 number = {1},
 pages = {A19, 17 S. online},
 title = {Structure Identification of Dynamical Takagi-Sugeno Fuzzy Models by Using LPV
Techniques},
 volume = {5},
 year = {2018}
}

@inproceedings{JR_SAS_2018,
 address = {Seoul, Korea},
 author = {Johannes Rangel and Andreas Kroll},
 booktitle = {IEEE Sensors Applications Symposium (SAS)},
 month = {12.-14. März},
 mrtnote = {peer,Gas3D},
 owner = {rangel},
 timestamp = {2017.11.14},
 title = {Characterization and Calibration of a Stereo Gas Camera System for Obtaining Spatial Information of Gas
Structures},
 year = {2018}
}

@inproceedings{JR_ICST_2018,
 address = {Limerick, Ireland},
 author = {Johannes Rangel and Andreas Kroll},
 booktitle = {International Conference on Sensing Technology
(ICST)},
 month = {3.-6. Dezember},
 mrtnote = {peer,Gas3D},
 owner = {rangel},
 timestamp = {2018.07.12},
 title = {On Obtaining Reliable Spatial Information from Gas Structures with a Stereo Camera
System},
 year = {2018}
}

@article{Al_Mawla-AT-2018,
 abstract = {The formation of foam in amine units is an issue that plant operators and field personnel are confronted with on a regular basis. The inability to take proper actions in due time may result in plant downtime and increased emissions. Steep rises in differential pressure indicate foam formation, and are monitored manually in practice. Antifoaming agent is added in order to reduce foaming, but this is usually carried out under time pressure. Hence, plant operating authorities have expressed a strong interest in a data-driven solution capable of providing an early warning against foaming. The classical univariate alarm associated with differential pressure can be ineffective for foaming detection due to high misdetection rates and its lateness of detection. Modern univariate approaches based on pattern recognition techniques may not be suitable either for an early detection, as no universally distinctive features of differential pressure are observed prior to foaming in the present study. In this contribution, the multivariate statistical process monitoring approach based on principal component analysis (PCA) is applied to the early detection of foaming in a continuously operated Shell Claus Off-gas Treating (SCOT) unit of a major refinery in Germany. The results are extended to facilitate fully automated and adaptive modeling based on exponentially weighted recursive principal component analysis (EWRPCA).},
 author = {H. {Al Mawla} and A. Kroll},
 doi = {https://doi.org/10.1515/auto-2018-0048},
 issn = {2196-677X},
 journal = {at -- Automatisierungstechnik},
 keywords = {multivariate statistical analysis; process monitoring; anomaly detection; early foaming detection},
 mrtnote = {nopeer,FEE},
 number = {8},
 owner = {almawla},
 pages = {665 -- 679},
 timestamp = {2018.04.02},
 title = {Multivariate statistical approaches for an early detection of foaming in a refinery SCOT
unit},
 url = {https://www.degruyter.com/view/j/auto.2018.66.issue-8/auto-2018-0048/auto-2018-0048.xml},
 volume = {66},
 year = {2018}
}

@inproceedings{WittichGMA2018,
 address = {Dortmund},
 author = {Felix Wittich and Matthias Gringard and Matthias Kahl and Andreas Kroll and Thomas Niendorf and Wolfgang
Zinn},
 booktitle = {28. Workshop Computational Intelligence},
 doit = {10.5445/KSP/1000085935},
 month = {29.-30. November},
 mrtnote = {nopeer,HartDrehen},
 organization = {GMA-FA 5.14},
 owner = {wittich},
 pages = {61 -- 81},
 publisher = {KIT Scientific Publishing},
 timestamp = {2017.08.31},
 title = {Datengetriebene Modellierung zur Prädiktion des Eigenspannungstiefenverlaufs beim
Hartdrehen},
 url = {https://www.rst.e-technik.tu-dortmund.de/cms/de/Veranstaltungen/GMA-Fachausschuss/index.html},
 year = {2018}
}

@inproceedings{Arengas2018ECC,
 address = {Limassol, Cyprus},
 author = {David Arengas and Andreas Kroll},
 booktitle = {Proceedings of the 17th {European Control
Conference} ({ECC})},
 language = {english},
 month = {June 12 -- 15},
 mrtnote = {FuzzyIdControl,peer,Search4UI},
 organization = {European Control Association (EUCA)},
 owner = {duerrbaum},
 pages = {2842--2847},
 timestamp = {2015.02.20},
 title = {Removal of Insufficiently Informative Data to Support System Identification in MISO
Processes},
 year = {2018}
}

@misc{DPatent2018,
 abstract = {Gegenstand der Erfindung ist ein Verfahren zur Bestimmung räumlicher Informationen einer gasförmigen Struktur (10), insbesondere einer Gaswolke, wobei das Verfahren wenigstens die folgenden Schritte umfasst: Bereitstellen (50) einer ersten Kamera (1) zur Aufnahme der gasförmigen Struktur (10) aus einer ersten Aufnahmeachse (A) und einer zweiten Kamera (2) zur Aufnahme der gasförmigen Struktur (10) aus einer zweiten Aufnahmeachse (B) oder Bereitstellen einer einzigen Kamera mit einem Strahlteiler, über den die gasförmige Struktur (10) aus der ersten Aufnahmeachse (A) und der zweiten Aufnahmeachse (B) aufgenommen wird, Erfassen (100) eines ersten Aufnahmebildes (A1) aus Richtung der ersten Aufnahmeachse (A) und eines zweiten Aufnahmebildes (B1) aus Richtung der zweiten Aufnahmeachse (B), Ableiten von Merkmalen (102) über die gasförmige Struktur (10) aus den Aufnahmebildern (A1, B1) mittels a) Differenzbildern umfassend Konzentrationsänderungen über der Zeit in der gasförmigen Struktur (10) und b) optischen Flussbildern umfassend räumliche Konzentrationsverschiebungen in der gasförmigen Struktur (10), Fusionieren und Bestimmen (103) der Korrespondenzen der abgeleiteten Merkmale mittels einer Korrespondenzbestimmung und Erzeugen eines Disparitätsbildes und Ableiten einer Bewegungsinformation über die gasförmige Struktur (10) aus der räumlichen Information (104) anhand des Disparitätsbil},
 address = {Universität Kassel},
 author = {Andreas Kroll and Johannes Rangel},
 language = {german},
 mrtnote = {patent,Gas3D},
 note = {EP 3573023 B1},
 number = {DE 10 2018 112479 B3},
 owner = {duerrbaum},
 timestamp = {2019.10.23},
 title = {Verfahren und Vorrichtung zur Bestimmung räumlicher Informationen einer gasförmigen
Struktur},
 url = {https://depatisnet.dpma.de/DepatisNet/depatisnet?window=1&space=menu&content=treffer&action=bibdat&docid=DE102018112479B3},
 year = {2018}
}

@techreport{2018-Schlussbericht-FEE,
 address = {Universität Kassel},
 author = {Alexander Rehmer and Andreas Kroll and Benjamin Klöpper and Martin Hollender and Marcel Dix and Moncef Chioua and Jan Christoph Schlake and Hassan Enam Al Mawla and Martin Atzmüller and Andreas Schmidt and Gerd Stumme and Sebastian Heinze and Luise Schegner and Markus Graube and Leon Urbas and Ralf Klinkenberg and David Arnu and Edin Klapic and Fabian
Temme},
 doi = {10.2314/GBV:1029316821},
 institution = {FG Mess- und Regelungstechnik},
 language = {german},
 number = {01IS14006},
 owner = {duerrbaum},
 pagetotal = {83},
 timestamp = {2020.09.10},
 title = {FEE -- Frühzeitige Erkennung und Entscheidungsunterstützung für kritische Situationen im
Produktionsumfeld},
 type = {Schlussbericht},
 url = {https://www.tib.eu/de/suchen/id/TIBKAT:1029316821/},
 urldate = {10.9.2020},
 year = {2018}
}

@inproceedings{DierksSAS2017,
 address = {Glassboro, USA},
 author = {Sören Dierks and Andreas Kroll},
 booktitle = {IEEE Sensors Applications Symposium (SAS)},
 doi = {10.1109/SAS.2017.7894047},
 language = {english},
 month = {13.-15. März},
 mrtnote = {peer,BioGas},
 owner = {dierks},
 timestamp = {2016.11.14},
 title = {Quantification of Methane Gas Leakages using Remote Sensing and Sensor Data
Fusion},
 url = {https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7894047},
 year = {2017}
}

@article{Zaidi-ASC-2016,
 abstract = {An approach to Nonlinear Output Error (NOE) modelling using Takagi - Sugeno (TS) fuzzy model for a class of nonlinear dynamic systems having variability in their outputs is presented. Furthermore, the approach is compared and graphically illustrated with other alternate approaches on the basis of interval data and interval membership functions. Assuming the identification method can be repeated offline a number of times under similar conditions, multiple input - output time series can be obtained from the underlying system. These time series are pre-processed using the techniques of statistics and probability theory to generate the envelopes of response (curves outlining the upper and lower extremes of response) at each time instant. Two types of envelopes are described in this research: the max - min envelopes and the envelopes based on the confidence intervals provided by extended Chebyshev's inequality. By incorporating interval data in fuzzy modelling and using the theory of symbolic interval-valued data, a TS fuzzy model with interval antecedent and consequent parameters is obtained. This algorithm provides a model for predicting the expected response as well as envelopes. In order to validate the presented model, a simulation case study is devised in this paper. Moreover, it is demonstrated on the real data obtained from an electro-mechanical throttle valve.},
 author = {Salman Zaidi and Andreas Kroll},
 doi = {https://dx.doi.org/10.1016/j.asoc.2017.04.004},
 journal = {Applied Soft Computing},
 language = {english},
 mrtnote = {FuzzyT2,peer},
 mrturla = {https://mrt-pc1.mrt.maschinenbau.uni-kassel.de/MRT/Bibliothek/Publikationen/2017-Zaidi-ASC-NOE_TS.pdf},
 owner = {salman},
 pages = {353-362},
 timestamp = {2016.05.03},
 title = {{NOE} {TS} Fuzzy Modelling of Nonlinear Dynamic Systems with Uncertainties using Symbolic Interval-valued
data},
 url = {https://www.sciencedirect.com/science/article/pii/S1568494617301758},
 volume = {57},
 year = {2017}
}

@inproceedings{HeinzeAutomation2017,
 address = {Baden-Baden},
 author = {S. Heinze and M. Graube and L. Schegner and D. Arnu and R. Klinkenberg and A. Schmidt and M. Atzmüller and B. Klöpper and M. Dix and M. Hollender and M. Chioua and H. {Al Mawla} and A. Rehmer and A. Kroll and G. Stumme and L.
Urbas},
 booktitle = {Automation 2017},
 howpublished = {online},
 language = {deutsch},
 month = {27.-28. Juni},
 mrtnote = {FEE,nopeer},
 organization = {VDI/VDE-Gesellschaft Mess- und
Automatisierungstechnik (GMA)},
 owner = {almawla},
 publisher = {VDI},
 title = {Big Data in der Prozessindustrie: Frühzeitige Erkennung und
Entscheidungsunterstützung},
 url = {https://www.automatisierungskongress.de/},
 year = {2017}
}

@article{ordonezmuller_2016,
 abstract = {Infrared thermography is a widely used technique to measure and portray the surface temperature of an object in form of thermal images. Two dimensional images, however, have some inherent limitations with regard to the fidelity with which they can depict the surface temperature of a three dimensional object. In the past two decades, there have been several works describing different techniques to generate 3D models textured with thermal information using various combinations of sensors in order to address some of these limitations. Most of these approaches generate 3D thermograms of an object from a single perspective with bulky measurement systems and therefore do not address problems that arise when scanning objects in a continuous manner from multiple perspectives. But reductions in cost, size and weight of infrared and depth-sensing cameras as well as a significant increase in computational power of personal computers have enabled the development of low cost, handheld, real-time 3D thermal imaging systems. This article elaborates through a series of experiments on the main factors that affect the real-time generation of high fidelity 3D thermograms with such a system and demonstrates how taking this factors into consideration significantly improves the appearance and fidelity of the generated 3D thermogram. Most of the insight gained in this article can be transferred to 3D thermal imaging systems based on other combination of sensors.},
 author = {Ordonez Müller, Antonio and Kroll, A.},
 doi = {10.1109/JSEN.2016.2621166},
 journal = {IEEE Sensors Journal},
 language = {English},
 month = {February},
 number = {3},
 owner = {duerrbaum},
 pages = {774-783},
 timestamp = {2016.06.06},
 title = {Generating High Fidelity 3D Thermograms with a Handheld Real-time Thermal Imaging
System},
 url = {https://ieeexplore.ieee.org/document/7676356/},
 volume = {17},
 year = {2017}
}

@inproceedings{KahlICC2017,
 address = {Berlin, Germany},
 author = {Matthias Kahl and Andreas Kroll and Robert Kästner
and Manfried Sofsky},
 booktitle = {Automotive Data Analytics, Methods, DoE - Proceedings of the International Calibration Conference},
 editor = {Karsten Röpke and Clemens Gühmann},
 month = {May 11-12},
 mrtnote = {nopeer,DynModNL},
 owner = {duerrbaum},
 pages = {283-299},
 timestamp = {2017.01.09},
 title = {On the selection of appropriate data from routine vehicle operation for system identification of a diesel engine gas
system},
 year = {2017}
}

@misc{DPatent2017,
 abstract = {Gegenstand der Erfindung ist ein Verfahren zum Erzeugen eines dreidimensionalen Thermogramms eines Objekts (2), bei dem geometrische Daten des Objekts (2) erfasst werden und anhand dieser ein dreidimensionales Modell des Objekts (2) erzeugt wird. Zusätzlich werden für Objektpunkte (9) von zumindest einer Teiloberfläche (10) des Objekts (2) Temperaturmesswerte erfasst, wobei für jeden Objektpunkt (9) neben dem Temperaturmesswert zusätzlich Daten zu Aufnahmebedingungen erfasst werden. Die erfassten Temperaturmesswerte werden zugehörigen Objektpunkten einer Teiloberfläche des dreidimensionalen Modells des Objekts (2) zugeordnet, so dass ein dreidimensionales Thermogramm für die Teiloberfläche (10) des Objekts (2) erzeugt wird. Erfindungsgemäß wird das so erzeugte dreidimensionale Thermogramm auf die zugehörige Teiloberfläche (10) des Objekts (2) projiziert. Nachfolgend werden erneut Temperaturmesswerte und von Daten zu den Aufnahmebedingungen für Objektpunkte einer oder der Teiloberfläche (10) des Objekts (2) erfasst. Für Objektpunkte (9), für die bereits ein Temperaturmesswert und Daten zu den Aufnahmebedingungen erfasst wurden, werden die Daten zu den Aufnahmebedingungen verglichen, wobei dem Objektpunkt in dem erzeugten dreidimensionalen Thermogramm automatisch der neu erfasste Tempertaturmesswert zugeordnet wird, wenn der neu erfasste Temperaturmesswert unter besseren Aufnahmebedingungen erfasst wurde.},
 address = {Universität Kassel},
 assignee = {Universität Kassel},
 author = {Kroll, Andreas and Ordonez Müller, Antonio},
 day = {11.07.2013},
 language = {german},
 mrtnote = {patent},
 nationality = {Deutsch},
 note = {EP 3 571 462 B1, US 11,079,219 B2, WO 2018 133890
A1},
 number = {DE 10 2017 1008 85 B4},
 owner = {baetz},
 timestamp = {2009.08.27},
 title = {Verfahren und Vorrichtung zum Erzeugen eines
3D-Thermogramms},
 type = {Patent},
 url = {https://depatisnet.dpma.de/DepatisNet/depatisnet?window=1&space=menu&content=treffer&action=bibdat&docid=DE102017100885A1},
 year = {2017}
}

@inproceedings{JR_SAS2017,
 address = {Glassboro, USA},
 author = {Johannes Rangel and Andreas Kroll},
 booktitle = {IEEE Sensors Applications Symposium (SAS)},
 month = {13.-15. März},
 mrtnote = {peer,Gas3D},
 owner = {rangel},
 timestamp = {2016.11.16},
 title = {Characterization and Evaluation of Spatial Jitter's Influence on the Intrinsic Geometric Calibration of an Infrared Camera for Gas
Visualization},
 year = {2017}
}

@article{2017-Kroll-Automatisierungstechnik-CI,
 address = {Dortmund},
 author = {F. Hoffmann and A. Kroll and R. Mikut},
 doi = {10.1515./auto-2017-17},
 editor = {Frank Hoffmann},
 journal = {at -- Automatisierungstechnik},
 language = {german},
 mrtnote = {nopeer,pke},
 note = {Editorial},
 number = {3},
 owner = {duerrbaum},
 pages = {153-155},
 publisher = {KIT Scientific Computing},
 series = {Schriftenreihe des Instituts für Angewandte
Informatik / Automatisierungstechnik},
 timestamp = {2012.10.08},
 title = {Ausgewählte Beiträge aus dem GMA-Fachausschuss 5.14. "Computational
Intelligence"},
 url = {https://www.rst.e-technik.tu-dortmund.de/cms/de/Veranstaltungen/GMA-Fachausschuss/index.html},
 volume = {65},
 year = {2017}
}

@inproceedings{Arengas2017b,
 address = {Sinaia, Romania},
 author = {David Arengas and Andreas Kroll},
 booktitle = {Proceedings of the 21st International Conference on System Theory
Control and Computing ICSTCC
2017},
 month = {October 19-21},
 mrtnote = {peer,FEE,Search4UI},
 owner = {duerrbaum},
 pages = {100 -- 105},
 timestamp = {2016.11.02},
 title = {A {S}earch {M}ethod for {S}electing {I}nformative {D}ata in {P}redominantly {S}tationary {H}istorical {R}ecords for {M}ultivariable
{S}ystems},
 url = {https://ieeexplore.ieee.org/document/8107018/},
 year = {2017}
}

@inproceedings{Arengas2017,
 address = {Sarajevo, Bosnia \& Herzegovina},
 author = {David Arengas and Andreas Kroll},
 booktitle = {Proceedings of the 26th International Conference on Information, Communication and Automation Technologies ICAT
2017},
 month = {October 26-28},
 mrtnote = {peer,FEE,Search4UI},
 owner = {duerrbaum},
 pages = {132 -- 137},
 timestamp = {2016.11.02},
 title = {Searching for {I}nformative {I}ntervals in {P}redominantly {S}tationary {D}ata {R}ecords to {S}upport {S}ystem
{I}dentification},
 url = {https://ieeexplore.ieee.org/document/8171617/},
 year = {2017}
}

@article{2017-Kroll_et_al-atp_edition-Modellfabrik_muPlant,
 abstract = {Modellfabriken werden mittlerweile häufig in Forschung und Lehre eingesetzt, aber über ihren Aufbau und ihre Funktionen ist wenig zu lesen. Im Beitrag wird eine Übersicht über in Deuschland vorhandene Modellfabriken gegeben. Zudem werden Details der selbst konzipierten und realisierten Modellfabrik µPlant vorgestellt. Diese besteht aus mehreren mit Transportrobotern verbundenen Produktionsinseln/-zellen, die jeweils lokal über angepasste Automatisierungssysteme verfügen. Alle Module sind stofflich und informationstechnisch integriert und die Modellfabrik kann voll automatisiert betrieben werden. Der Beitrag richtet sich an Personen mit Interesse an Aufbau, Beschaffung oder Nutzung von Modellfabriken},
 author = {Andreas Kroll AND Axel Dürrbaum AND David Arengas AND Hassan {Al Mawla} AND Lars Kistner AND Alexander Rehmer},
 journal = {atp edition},
 keywords = {Modellfabrik, Modularisierung, dezentrale
Automation},
 language = {german},
 month = {September},
 mrtnote = {peer, muPlant, FEE},
 mrturla = {https://mrt-pc1.mrt.maschinenbau.uni-kassel.de/MRT/Bibliothek/Publikationen/2017-Kroll-atp-Modellfabrik_muPlant-PUB.pdf},
 number = {9},
 owner = {duerrbaum},
 pages = {40-53},
 timestamp = {2017.08.15},
 title = {µPlant: Eine automatisierungstechnisch-orientierte Modellfabrik für vernetzte heterogene
Systeme},
 url = {https://www.di-verlag.de/de/Zeitschriften/atp-edition/2017/09/Plant:-Modellfabrik-fuer-vernetzte-heterogene-Anlagen},
 volume = {59},
 year = {2017}
}

@article{2017-Kroll_Duerrbaum-ASOC-OED,
 abstract = {Optimal Experiment Design (OED) is a well-developed concept for regression problems that are linear-in-the-parameters. In case of experiment design to identify nonlinear Takagi-Sugeno (TS) models, non-model-based approaches or OED restricted to the local model parameters (assuming the partitioning to be given) have been proposed. In this article, a Fisher Information Matrix (FIM) based OED method is proposed that considers local model and partition parameters. Due to the nonlinear model, the FIM depends on the model parameters that are subject of the subsequent identification. To resolve this paradoxical situation, at first a model-free space filling design (such as Latin Hypercube Sampling) is carried out. The collected data permits making design decisions such as determining the number of local models and identifying the parameters of an initial TS model. This initial TS model permits a FIM-based OED, such that data is collected which is optimal for a TS model. The estimates of this first stage will in general not be ideal. To become robust against parameter mismatch, a sequential optimal design is applied. In this work the focus is on D-optimal designs. The proposed method is demonstrated for three nonlinear regression problems: an industrial axial compressor and two test functions.},
 author = {Andreas Kroll AND Axel Dürrbaum},
 doi = {10.1016/j.asoc.2017.07.015},
 journal = {Applied Soft Computing},
 keywords = {Takagi-Sugeno fuzzy models; optimal experiment design; design of experiments, nonlinear regression; nonlinear system
identification},
 language = {english},
 mrtnote = {peer,OED},
 mrturla = {https://mrt-pc1.mrt.maschinenbau.uni-kassel.de/MRT/Bibliothek/Publikationen/2017-Kroll_Duerrbaum-ASoC-OED-submitted-PUB.pdf},
 owner = {duerrbaum},
 pages = {407 -- 422},
 timestamp = {2017.07.10},
 title = {On optimal experiment design for identifying premise and conclusion parameters of Takagi-Sugeno models: nonlinear regression
case},
 url = {https://reader.elsevier.com/reader/sd/pii/S1568494617304246},
 volume = {60},
 year = {2017}
}

@conference{2017-Kroll-VDI-muPlant,
 abstract = {Die Modellfabrik µPlant stellt eine modulare, stofflich und informationstechnisch vernetzte Miniaturfabrik dar. Sie besteht aus mehreren unterschiedlichen Modulen, in denen kontinuierliche Prozesse oder Stückgutprozesse ablaufen, einem Lager mit Knickarmroboter sowie mehreren mobilen Robotern für einen flexibel einstellbaren Materialfluss zwischen den einzelnen Modulen. Die Module haben jeweils eigene, für den jeweiligen Modultyp spezifisch ausgewählte Automatisierungssysteme. Die Modellfabrik dient im Bereich der Lehre der Qualifizierung Studierender an modernen und an zukünftigen Automatisierungstechnologien. In der Forschung dient sie als Testeinrichtung für Methoden aus den Bereichen Überwachung, Modellbildung, Regelung und Optimierung. In einem Vortrag wird eine technische Übersicht über die Anlage gegeben und ihre Funktion erläutert. Anschlißend findet eine Vorführung der Modellfabrik statt. Univ.-Prof. Dr.-Ing. Andreas Kroll leitet das Fachgebiet Mess- und Regelungstechnik im Fachbereich Maschinenbau an der Universität Kassel. Zudem ist er Arbeitskreisleiter des AK 4 "Mess- und Regelungstechnik" im VDI Bezirksverein Nordhessen.},
 author = {Andreas Kroll},
 date = {2017.05.09},
 language = {german},
 month = {Mai},
 mrtnote = {talk: kroll, muPlant},
 note = {VDI Bezirksverein Nordhessen, Arbeitskreis Mess- und
Automatisierungstechnik},
 owner = {duerrbaum},
 timestamp = {2017.08.18},
 title = {µPlant: Eine automatisierungstechnisch-orientierte Modellfabrik für Forschung und
Lehre},
 year = {2017}
}

@article{2017-Kroll-MoWiN.net-Jahresruecklick_2016,
 abstract = {Modellfabrik µPlant wurde unter Federführung von Univ.-Prof. Dr.-Ing. Andreas Kroll konzipiert und realisiert.},
 author = {Andreas Kroll},
 journal = {MoWiN.net Jahrerücklick 2016},
 mrtnote = {muPlant,Presse,nopeer},
 owner = {duerrbaum},
 pages = {63},
 timestamp = {2019.02.26},
 title = {Einzigartige Modellfabrik im Fachbereich
Maschinenbau},
 url = {https://www.mowin.net/fileadmin/mowin/dokumente/Jahresrueckblick/2016/Jahresrueckblick_2016_web.pdf},
 year = {2017}
}

@article{2016-AS_AK_-IJFS-TSController,
 abstract = {Often models are used for controller design that was identified under the objective to well approximate the system under study. In this paper, a scheme for identifying discrete-time locally affine Takagi - Sugeno (TS) models is presented, which better reflects the dedicated model use for designing a TS controller. For this purpose, after an initial open-loop experiment and controller design step, additional experiments are carried out in closed loop, each followed by an identification and controller design step. The deployed TS controllers are of parallel distributed compensator type but augmented by parallel drift and steady-state error compensation. The focus in this work is on a complete method that is simple and usable for real-world applications. To illustrate the practicality of the method, it is demonstrated on a laboratory-scale three-tank system.},
 author = {Alexander Schrodt and Andreas Kroll},
 doi = {10.1007/s40815-016-0290-x},
 journal = {International Journal of Fuzzy Systems},
 keywords = {Nonlinear controlI, dentification for control, Fuzzy
systems},
 language = {english},
 mrtnote = {FuzzyIdControl,peer},
 number = {6},
 owner = {duerrbaum},
 pages = {1978-1988},
 timestamp = {2016.09.12},
 title = {On Iterative Closed-Loop Identification Using Affine Takagi-Sugeno Models and
Controllers},
 url = {https://link.springer.com/article/10.1007/s40815-016-0290-x},
 volume = {19},
 year = {2017}
}

@inproceedings{RehmerIFAC2017,
 abstract = {Multivariate Statistical Process Control (MSPC) techniques such as Principal Component Analysis (PCA) and Partial Least Squares (PLS) have found wide application especially in the statistical modeling and monitoring of chemical processes. However, real industrial processes often violate the assumptions underlying MSPC since they exhibit timevarying and non-stationary behavior. Adaptive PCA-based monitoring procedures such as Moving Window PCA (MWPCA) and Recursive PCA (RPCA) have been proposed to tackle this issue. Although the parameter selection for those procedures is critical to their proper implementation, this topic is rarely covered in the literature. This paper examines two methods for MWPCA and RPCA parameter selection using the Tennessee Eastman process as an example. Based on the findings a novel procedure for RPCA parameter selection as well as a extension to RPCA will be proposed and demonstrated.},
 author = {Alexander Rehmer and Andreas Kroll},
 booktitle = {Proceedings of the 20th IFAC World Congress},
 mrtnote = {FEE,peer},
 organization = {IFAC},
 owner = {rehmer},
 pages = {15329-15334},
 timestamp = {2016.11.14},
 title = {An extension to RPCA parameter selection and process
monitoring},
 year = {2017}
}

@inproceedings{GuentherSAS2016,
 address = {Catania, Italy},
 author = {Thomas Guenther and Andreas Kroll},
 booktitle = {IEEE Sensors Applications Symposium (SAS)},
 doi = {10.1109/SAS.2016.7479830},
 language = {english},
 month = {20.-22. April},
 mrtnote = {robotair, peer},
 owner = {guenther},
 pages = {116 -- 121},
 timestamp = {2016.02.24},
 title = {Automated Detection of Compressed Air Leaks Using a Scanning Ultrasonic Sensor
System},
 year = {2016}
}

@inproceedings{GuentherEWGAE2016,
 abstract = {Compressed air is a widespread but costly energy carrier. Leaks account for 10 compressed air consumption in production facilities and their removal offers high potential for cost reduction. The turbulent flow from a leak causes broadband acoustic emissions. These are exploited for leak detection using a narrowband ultrasonic microphone that is insensitive to audible noise. A parabolic mirror or an acoustic horn is utilized to enhance the directivity and the received signal power of the microphone. The microphone is mounted on mobile service robots. In the project "Robotair" an automated guided vehicle (AGV) and a remotely controlled micro aerial vehicle (MAV) were used for robotized inspection of production facilities. In order to detect leaks, predefined areas are scanned. A leak is detected and localized based on the sensed peak amplitude of the ultrasound signal. The corresponding pose of the sensor facing the leak is determined based on the selflocalization of the robot. Leak localization is carried out by triangulation of two sensor poses. Tests were conducted in an automobile production facility to evaluate the performance of the system. A leak was placed in an assembly line and multiple measurements were taken from two positions with the AGV and the MAV. The leaks were successfully detected and localized.},
 address = {Prague, Czech Republic},
 author = {Thomas Guenther and Andreas Kroll},
 booktitle = {32nd European Conference on Acoustic Emission
Testing},
 isbn = {978-80-214-5385-2},
 keywords = {air-coupled ultrasound, compressed air, leak detection, leak localization
mobile service
robots},
 language = {english},
 month = {7. -9. September},
 mrtnote = {robotair,pke,nopeer},
 organization = {European Working Group on Acoustic Emission},
 owner = {duerrbaum},
 pages = {173 -- 182},
 publisher = {VUTIUM Brno},
 timestamp = {2016.04.25},
 title = {Localization of compressed air leaks in industrial environments using service robots with ultrasonic microphones},
 url = {https://www.ndt.net/article/ewgae2016/papers/173_paper.pdf},
 year = {2016}
}

@article{Dierks2016a,
 author = {Sören Dierks and Stefanie Retz and Dominik Klaus and Carsten Supply and Oliver Hensel and Andreas
Kroll},
 journal = {gwf -- Gas + Energie},
 language = {german},
 mrtnote = {BioGas,nopeer},
 number = {9},
 owner = {dierks},
 pages = {690-695},
 timestamp = {2016.10.07},
 title = {Schwachstellenanalyse und fernmesstechnische Ermittlung von Methanemission aus
Biogasanlagen},
 url = {https://www.di-verlag.de/de/GWF-Gas-Energie},
 volume = {157},
 year = {2016}
}

@techreport{Dierks2016b,
 address = {Universität Kassel},
 author = {Sören Dierks and Dominik Klaus and Carsten Supply and Andreas Kroll and Stefanie Retz and Oliver Hensel},
 institution = {FG Mess- und Regelungstechnik},
 month = {November},
 owner = {schmoll},
 timestamp = {2021.08.24},
 title = {Quantifizierung klimarelevanter Gasleckagen bei Biogasanlagen -
Machbarkeitsuntersuchung},
 type = {Abschlussbericht},
 url = {https://www.dbu.de/OPAC/ab/DBU-Abschlussbericht-AZ-31314.pdf},
 year = {2016}
}

@inproceedings{Dierks2016,
 address = {Lemgo, Germany},
 author = {Sören Dierks and Andreas Kroll},
 booktitle = {Jahreskolloquium Bildverarbeitung in der Automation
2016},
 language = {german},
 month = {1. December},
 mrtnote = {BioGas,nopeer},
 owner = {dierks},
 timestamp = {2016.10.10},
 title = {Schätzung von Gasgeschwindigkeiten aus Differenzbildserien einer Infrarotkamera zur Gasvisualisierung},
 url = {https://www.hs-owl.de/init/bvau2016/index.php/home},
 year = {2016}
}

@article{Zaidi-AT-2016,
 author = {Salman Zaidi and Andreas Kroll},
 journal = {at -- Automatisierungstechnik},
 mrtnote = {FuzzyT2,peer},
 number = {6},
 owner = {salman},
 pages = {418 -- 427},
 timestamp = {2016.06.03},
 title = {On Interval-valued-data Type-1 Takagi-Sugeno fuzzy systems for uncertain nonlinear dynamic system identification},
 url = {https://www.degruyter.com/view/j/auto},
 volume = {64},
 year = {2016}
}

@inproceedings{GringardSSCI2016,
 address = {Athens, Greece},
 author = {Matthias Gringard and Andreas Kroll},
 booktitle = {IEEE Symposium Series of Computational Intelligence
2016},
 month = {06.-09. December},
 mrtnote = {peer,OED},
 organization = {IEEE},
 owner = {gringard},
 pages = {39 -- 60},
 timestamp = {2016.06.08},
 title = {On the parametrization of APRBS and multisine test signals for the identification of nonlinear dynamic TS-models},
 url = {https://ssci2016.cs.surrey.ac.uk/IEEE%202016.htm},
 year = {2016}
}

@inproceedings{GringardGMA2016,
 address = {Dortmund},
 author = {Matthias Gringard and Andreas Kroll},
 booktitle = {26. Workshop Computational Intelligence},
 doi = {10.5445/KSP/1000060007},
 isbn = {9783731505884},
 month = {24.-25. November},
 mrtnote = {nopeer,FuzzyT2,pke,OED},
 organization = {GMA-FA 5.14},
 owner = {gringard},
 pages = {119-138},
 publisher = {KIT Scientific Publishing},
 timestamp = {2016.06.08},
 title = {On the systematic parametrization of APRBS and multisine test signals for nonlinear system identification},
 url = {https://www.rst.e-technik.tu-dortmund.de/cms/de/Veranstaltungen/GMA-Fachausschuss},
 year = {2016}
}

@article{EAAI2016,
 abstract = {Multi-robot task allocation determines the task sequence and distribution for a group of robots in multi-robot systems, which is one of constrained combinatorial optimization problems and more complex in case of cooperative tasks because they introduce additional spatial and temporal constraints. To solve multi-robot task allocation problems with cooperative tasks efficiently, a subpopulation-based genetic algorithm, a crossover-free genetic algorithm employing mutation operators and elitism selection in each subpopulation, is developed in this paper. Moreover, the impact of mutation operators (swap, insertion, inversion, displacement, and their various combinations) is analyzed when solving several industrial plant inspection problems. The experimental results show that: (1) the proposed genetic algorithm can obtain better solutions than the tested binary tournament genetic algorithm with partially mapped crossover; (2) inversion mutation performs better than other tested mutation operators when solving problems without cooperative tasks, and the swap-inversion combination performs better than other tested mutation operators/combinations when solving problems with cooperative tasks. As it is difficult to produce all desired effects with a single mutation operator, using multiple mutation operators (including both inversion and swap) is suggested when solving similar combinatorial optimization problems.},
 author = {Chun Liu and Andreas Kroll},
 doi = {10.1186/s40064-016-3027-2},
 eid = {PMC4990531},
 journal = {SpringerPlus Engineering},
 language = {english},
 month = {August},
 mrtnote = {peer},
 number = {1},
 owner = {duerrbaum},
 timestamp = {2016.09.26},
 title = {Performance impact of mutation operators of a subpopulation-based genetic algorithm for multi-robot task allocation
problems},
 url = {https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4990531/},
 volume = {15},
 year = {2016}
}

@inproceedings{JaeschkeGMA2016,
 address = {Dortmund},
 author = {Benjamin Jäschke and Andreas Kroll},
 booktitle = {26. Workshop Computational Intelligence},
 doi = {10.5445/KSP/1000060007},
 editor = {Alexander Rehmer},
 keywords = {datamining, time series, anomaly detection,
spatio-temporal data},
 month = {24.-25. November},
 mrtnote = {pke,FEE,nopeer},
 organization = {GMA-FA 5.14},
 owner = {duerrbaum},
 pages = {245-260},
 publisher = {KIT Scientific Publishing},
 timestamp = {2016.06.07},
 title = {Ein Nächste-Nachbarn-Ansatz zur Anomaliedetektion bei Massendaten aus kontinuierlich betriebenen Chemieanlagen},
 volume = {26},
 year = {2016}
}

@inproceedings{2016-ad_ak-SMC2016-OED,
 abstract = {Optimal experiment design (OED) is a well-developed concept for linear regression and linear dynamical modeling problems. In case of nonlinear models, the dilemma is that in order to evaluate the Fisher Information Matrix (FIM) for experiment design, the parameters to be estimated are required to evaluate the FIM. In case of locally affine Takagi-Sugeno (TS) models and D-optimal designs, even a "robust" sequential OED may not be sufficiently robust against wrong assumptions on partition parameters. As remedy, a two stage experiment design is proposed: It uses a space-filling design to estimate good initial TS model parameters. These are used to initialize a robust sequential FIM-based OED. The method is demonstrated for a nonlinear regression problem.},
 address = {Budapest, Hungary},
 author = {Axel Dürrbaum and Andreas Kroll},
 booktitle = {IEEE International Conference on Systems, Man, and
Cybernetics (SMC 2016)},
 doi = {10.1109/SMC.2016.7844506},
 language = {english},
 month = {October, 9 -- 12},
 mrtnote = {peer,OED,poster:kroll},
 organization = {IEEE Systems, Man, and Cybernetics},
 owner = {duerrbaum},
 timestamp = {2016.06.27},
 title = {On robust experiment design for identifying locally
affine Takagi-Sugeno models},
 url = {https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7844506},
 year = {2016}
}

@article{AtzmuellerATP2016,
 author = {Atzmueller, Martin and Kloepper, Benjamin and Al Mawla, Hassan and Jäschke, Benjamin and Hollender, Martin and Graube, Markus and Arnu, David and Schmidt, Andreas and Heinze, Sebastian and Schorer, Lukas and Kroll, Andreas and Stumme, Gerd and Urbas, Leon},
 journal = {atp edition},
 language = {english},
 month = {September},
 mrtnote = {FEE,peer},
 number = {9},
 owner = {duerrbaum},
 pages = {62--74},
 timestamp = {2016.08.02},
 title = {Big data analytics for proactive industrial decision support: Approaches \& first experiences in the FEE Project},
 url = {https://www.di-verlag.de/de/Zeitschriften/atp-edition/2016/09/Big-data-analytics-for-proactive-industrial-decision-support},
 volume = {58},
 year = {2016}
}

@techreport{2016-Schlussbericht-Robotair,
 address = {Universität Kassel},
 author = {Andreas Kroll and Ludger Schmidt and Matthias Hempel and Moritz Wörner and Sebastian Letzing and Jens Hegenberg and Roman Herrmann and Daniela Ziegner and Antonio Ordóñez Müller and Thomas Günther and Thomas Barz and Dirk Schulz and Peter Otto and Sascha Mench and Christian Reutemann and Andreas
Weise},
 doi = {10.2314/GBV:881946095},
 institution = {FG Mess- und Regelungstechnik},
 language = {german},
 owner = {duerrbaum},
 pagetotal = {82},
 timestamp = {2020.09.10},
 title = {Robotair -- Praxistaugliches Boden-Luft-Servicerobotiksystem für Inspektion von industriellerDruckluftversorgung und Verbesserung der Arbeitsumgebungsfaktoren am Beispiel der Automobilproduktion},
 type = {Schlussbericht},
 url = {https://www.tib.eu/de/suchen/id/TIBKAT:881946095/},
 urldate = {10.9.2020},
 year = {2016}
}

@inproceedings{GMA_Kroll_2016,
 address = {Dortmund},
 author = {Andreas Kroll},
 booktitle = {26. Workshop Computational Intelligence},
 doi = {10.5445/KSP/1000060007},
 language = {german},
 month = {24.-25. November},
 mrtnote = {nopeer,OED},
 organization = {GMA-FA 5.14 "Computational Intelligence"},
 owner = {duerrbaum},
 pages = {97-118},
 publisher = {KIT Scientific Publishing},
 timestamp = {2010.07.06},
 title = {Zum optimalen Testsignalentwurf für die Partitionierung und Teilmodellparametrierung dynamischer Takagi-Sugeno-Modelle: Problemstellung und
Lösungsansätze},
 year = {2016}
}

@conference{2016-Kroll-Talk-IAV_NL_SysId,
 author = {Andreas Kroll},
 date = {18.11.2016},
 language = {german},
 location = {Berlin},
 mrtnote = {talk:kroll},
 note = {18.11.2016, IAV Berlin},
 owner = {duerrbaum},
 timestamp = {2019.10.23},
 title = {On nonlinear system identification and big data:
{S}elected research activities},
 year = {2016}
}

@book{2016-Book-Kroll-CIA,
 abstract = {Das erste deutschsprachige Lehrbuch zum Thema Computational Intelligence für Ingenieure - praxisbezogen, gut verständlich, inhaltlich auf dem neuesten Stand. Mit Online-Zusatzmaterial. Produktinfo: Beschreibung, Analyse und Entwurf technischer Systeme werden zunehmend komplexer und erfordern neuartige Lösungsansätze. Durch die Natur inspiriert entstanden verschiedene Berechnungsverfahren, die im Wissenschaftsgebiet der Computational Intelligence (CI) zusammengefasst sind. Hierzu zählen die etablierten Kernbereiche der Fuzzy-Systeme, Künstliche Neuronale Netze und Evolutionäre Algorithmen sowie aus diesen zusammengeführte Hybride Methoden. Hinzu kommen die noch jungen Gebiete der Schwarmintelligenz und der künstlichen Immunsysteme. So bewegt sich die CI an der Schnittstelle zwischen Ingenieurswissenschaften und Informatik. Dieses Buch bietet eine gut verständliche, vereinheitlichende und anwendungsorientierte Einführung in das Thema und vermittelt Studenten und berufstätigen Ingenieuren das notwendige Fachwissen. Neben den methodischen Erläuterungen sind einfach nachvollziehbare Beispiele integriert, die die Funktion der Methoden veranschaulichen. Darüber hinaus wurden Praxisbeispiele zur Illustration der praktischen Relevanz aufgenommen. Die Musterlösungen für Dozenten können auf der geschützten Webseite https://mrt-pc1.mrt.maschinenbau.uni-kassel.de/MRT/Bibliothek/Compagnon/ heruntergeladen werden.},
 address = {München},
 author = {Andreas Kroll},
 isbn = {978-3-11-040177-6},
 language = {german},
 note = {2. überarb. Aufl., 448 Seiten},
 owner = {duerrbaum},
 publisher = {deGruyter/Oldenbourg Verlag},
 timestamp = {2013.04.29},
 title = {Computational Intelligence -- Probleme, Methoden und
technische Anwendungen},
 url = {https://www.degruyter.com/view/product/447589},
 year = {2016}
}

@article{at-2016-Geiger_Kroll,
 author = {Andreas Geiger and Andreas Kroll},
 doi = {10.1515/auto-2015-0086},
 journal = {at -- Automatisierungstechnik},
 language = {german},
 mrtnote = {peer,muPlant,Netze},
 number = {2},
 owner = {duerrbaum},
 pages = {110 -- 120},
 timestamp = {2015.12.17},
 title = {Erweiterung komplexer Netzwerke zur dynamischen Modellierung und Analyse von großen, verkoppelten Systemen},
 volume = {64},
 year = {2016}
}

@article{Schrodt2016at,
 author = {Alexander Schrodt and Andreas Kroll},
 issn = {2196-677X},
 journal = {at -- Automatisierungstechnik},
 language = {german},
 mrtnote = {FuzzyIdControl,peer},
 number = {4},
 owner = {duerrbaum},
 pages = {270 -- 281},
 timestamp = {2015.11.02},
 title = {Zur regelungsorientierten Identifikation und driftkompensierenden
Takagi-Sugeno-Fuzzy-Regelung},
 url = {https://www.degruyter.com/view/j/auto},
 volume = {64},
 year = {2016}
}

@inproceedings{muPlant_AUTOMATION_2016,
 address = {Baden-Baden},
 author = {A. Kroll and A. Dürrbaum and D. Arengas and B. Jäschke and H. {Al Mawla} and A.
Geiger},
 booktitle = {Automation 2016},
 howpublished = {online},
 isbn = {978-3-18-092284-0},
 issn = {0083-5560},
 language = {english},
 month = {7.-8. Juni},
 mrtnote = {muPlant, FEE, talk:Dürrbaum,
Poster:Dürrbaum,pke,nopeer},
 organization = {VDI/VDE-Gesellschaft Mess- und
Automatisierungstechnik (GMA)},
 owner = {duerrbaum},
 publisher = {VDI},
 timestamp = {2016.06.08},
 title = {µPlant: Model factory for the automatization of networked, heterogeneous and flexibly changeable multi-product
plants},
 url = {https://www.automatisierungskongress.de/},
 volume = {VDI-Berichte 2284},
 year = {2016}
}

@inproceedings{Zaidi-SYSID-2015,
 abstract = {A novel approach to Takagi-Sugeno (T-S) fuzzy modeling of a class of nonlinear dynamic systems having variability in their outputs for the Nonlinear Output Error (NOE) case is addressed in this article. Multiple input-output datasets were obtained by repeating the identification experiment. The variability in the output time series is captured by defining the envelops of response at each time instant. These envelops actually provide the confidence interval based upper and lower bounds of the output time series using the extended Chebyshev's Inequality. Different from the previous approach, in which two independent T-S fuzzy models were used for identifying each bound, a single T-S fuzzy model is identified in this work, which resulted in interval parameters for the antecedent and consequent variables. This is accomplished by first transforming the bounds into the symbolic interval-valued data and then using this data for identification. In order to get the expected response, the estimated lower and upper bound time series of the identified T-S fuzzy model were averaged out at each time instant, as permitted by the structure of the extended Chebyshev's Inequality. The proposed approach is demonstrated and validated for the experimental data obtained from diesel-engine electro-mechanical throttle valve.},
 address = {Beijing, China},
 author = {Salman Zaidi and Andreas Kroll},
 booktitle = {Proceedings of the 17th IFAC Symposium on System
Identification ({SysID})},
 doi = {doi:10.1016/j.ifacol.2015.12.294},
 language = {english},
 month = {October 19-21},
 mrtnote = {FuzzyT2,peer},
 owner = {duerrbaum},
 pages = {1196 -- 1201},
 timestamp = {2015.06.02},
 title = {A Novel Approach to {TS} Fuzzy Modeling of Nonlinear Dynamic Systems with Uncertainties using Symbolic Interval-Valued
Outputs},
 year = {2015}
}

@article{2015_Rangel_RIUA,
 author = {Rangel Gonzalez, Johannes and Garzon, Julian and Sofrony, Jorge and Kroll

Andreas},
 journal = {Revista de Ingeniería Universidad de los Andes},
 language = {English},
 month = {June},
 mrtnote = {peer},
 number = {42},
 owner = {duerrbaum},
 pages = {8-15},
 timestamp = {2015.04.08},
 title = {Gas Leak Inspection Task Based on Thermal-Visual-Depth Images and a Depth-enhanced Gas Detection
Strategy},
 url = {https://ojsrevistaing.uniandes.edu.co/ojs/index.php/revista/article/view/40},
 year = {2015}
}

@inproceedings{ordonezmuller_2015,
 abstract = {In infrared thermography, the temperature measured by a thermal imaging device varies with the position and orientation of the camera with respect to an object's surface. 3D thermography has hence the potential to depict the surface temperature of objects with higher fidelity than conventional 2D thermography. So far the problem of assigning temperature values that correspond to the same surface but were obtained from different perspectives has been addressed by simply overwriting previous values with new values or by averaging the measured values according to a weighted averaging scheme. A new approach to map temperature values onto a 3D model is proposed that results in a more faithful representation of an object's real surface temperature in form of a 3D thermogram. Temperature values are assigned in real time to the 3D model taking into consideration the observation conditions under which they were measured. These conditions are also made available to the user in form of textured 3D models, where the texture color depicts the level of confidence associated to the thermal measurements. These textures provide useful additional information about the 3D thermogram. The new approach is especially helpful in the real-time generation of 3D thermograms as the user gets live feedback on the quality of the thermal model being generated.},
 address = {Auckland, New Zealand},
 author = {Ordonez Müller, Antonio and Kroll, Andreas},
 booktitle = {9th International Conference on Sensing Technology (ICST 2015)},
 doi = {10.1109/ICSensT.2015.7438397},
 keywords = {thermal imaging, 3D real time thermography, vision sensing, sensor data fusion},
 language = {english},
 month = {December 8. -- 10.},
 mrtnote = {robotair, peer},
 owner = {Ordonez Müller},
 pages = {235--240},
 timestamp = {2015.07.22},
 title = {On the Temperature Assignment Problem and the Use of
Confidence Textures in the Creation of 3D
Thermograms},
 url = {https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7438397},
 year = {2015}
}

@inproceedings{KahlSysID2015,
 address = {Beijing, China},
 author = {Matthias Kahl and Andreas Kroll and Robert Kästner
and Manfried Sofsky},
 booktitle = {Proceedings of the 17th IFAC Symposium on System
Identification ({SysID})},
 doi = {doi:10.1016/j.ifacol.2015.12.232},
 language = {english},
 month = {October 19-21},
 mrtnote = {peer,DynModNL,SFS_TS},
 owner = {duerrbaum},
 pages = {829-834},
 timestamp = {2015.03.25},
 title = {Application of model selection methods for the identification of a dynamic boost pressure
model},
 year = {2015}
}

@inproceedings{GringardGMA2015,
 address = {Dortmund},
 author = {Matthias Gringard and Andreas Kroll},
 booktitle = {25. Workshop Computational Intelligence},
 doi = {0.5445/KSP/100004962},
 isbn = {9783731504320},
 month = {26.-27. November},
 mrtnote = {nopeer,FuzzyT2,pke,OED},
 organization = {GMA-FA 5.14},
 owner = {gringard},
 pages = {145 -- 162},
 publisher = {KIT Scientific Publishing},
 timestamp = {2015.11.11},
 title = {Zur Homogenisierung von Breitbandtestsignalen für die nichtlineare Systemidentifikation am Beispiel eines nichtlinearen
Stellantriebs},
 url = {https://www.rst.e-technik.tu-dortmund.de/cms/de/Veranstaltungen/GMA-Fachausschuss/index.html},
 year = {2015}
}

@article{Hegenberg2015,
 author = {Hegenberg, J. and Herrmann, R. and Ziegner, D. and Schmidt, L. and Guenther, T. and Müller, A. O. and Kroll, A. and Barz, T. and Schulz

D.},
 journal = {Technische Sicherheit},
 keywords = {robotair},
 language = {deutsch},
 month = {Mai},
 mrtnote = {peer, robotair,pke},
 number = {5},
 owner = {duerrbaum},
 pages = {16-22},
 timestamp = {2015.03.25},
 title = {Forschungsprojekt RobotAir: Praxistaugliches Boden-Luft-Servicerobotersystem für die Inspektion industrieller Druckluftversorgung und die Verbesserung der
Arbeitsumgebungsfaktoren},
 volume = {5},
 year = {2015}
}

@article{SOCO2014,
 author = {Chun Liu and Andreas Kroll},
 doi = {10.1007/s00500-014-1274-0},
 journal = {Soft Computing},
 language = {english},
 mrtnote = {MultiRobot,peer},
 note = {Online First},
 number = {3},
 pages = {567-584},
 timestamp = {2014.03.13},
 title = {Memetic algorithms for optimal task allocation in multi-robot systems for inspection problems with cooperative
tasks},
 url = {https://link.springer.com/article/10.1007/s00500-014-1274-0},
 volume = {19},
 year = {2015}
}

@inproceedings{Duerrbaum-2015-SysID,
 abstract = {Optimal Experiment Design (OED) is a well-developed concept for regression problems that are linear-in-their-parameters or for linear dynamical models. In case of nonlinear Takagi-Sugeno models either non-model-based experiment design or OED restricted to the local model parameters has been examined. This article proposes a joint design of local model and partition parameters that bases on the Fisher Information Matrix (FIM). For this purpose, a symbolic description of the joint FIM is derived. Its heterogeneous structure can make it badly conditioned, complicating computation of the determinant for D-optimal design. This problem is relaxed using determinant decomposition. A theoretical analysis and a case study show that experiment design for local model and partition parameters may significantly differ from each other.},
 address = {Beijing, China},
 author = {Andreas Kroll and Axel Dürrbaum},
 booktitle = {Proceedings of the 17th IFAC Symposium on System
Identification ({SysID})},
 doi = {doi:10.1016/j.ifacol.2015.12.333},
 keywords = {Nonlinear system identification, optimal experiment design
Takagi-Sugeno fuzzy
systems},
 language = {english},
 month = {October 19-21},
 mrtnote = {peer,talk:Dürrbaum,oed},
 pages = {1427 -- 1432},
 timestamp = {2015.02.13},
 title = {On joint optimal experiment design for identifying partition and local model parameters of Takagi-Sugeno
models},
 year = {2015}
}

@techreport{2015-Abschlusschlussbericht-DFG-Regelungsorientierte_Identifikation,
 address = {Universität Kassel},
 author = {Andreas Kroll and Alexander Schrodt},
 institution = {FG Mess- und Regelungstechnik},
 language = {german},
 number = {KR3795/1-1},
 owner = {schrodt},
 pagetotal = {17},
 timestamp = {2015.09.30},
 title = {Regelungsorientierte Identifikation nichtlinearer dynamischer Systeme für lokal affin approximierbare Systeme},
 type = {Schlussbericht},
 year = {2015}
}

@inproceedings{Schrodt2015SysID,
 address = {Beijing, China},
 author = {Alexander Schrodt and Andreas Kroll},
 booktitle = {Proceedings of the 17th IFAC Symposium on System
Identification ({SysID})},
 doi = {doi:10.1016/j.ifacol.2015.12.154},
 language = {english},
 month = {October 19 -- 21},
 mrtnote = {FuzzyIdControl,peer},
 owner = {duerrbaum},
 pages = {362 -- 367},
 timestamp = {2015.02.20},
 title = {Using an Iterative and Affine Closed-Loop Identification and Controller Design Scheme for {Takagi}-{Sugeno}
Models},
 year = {2015}
}

@inproceedings{Schrodt2015ECC,
 address = {Linz, Austria},
 author = {Alexander Schrodt and Andreas Kroll},
 booktitle = {Proceedings of the 14th {European Control
Conference} ({ECC})},
 doi = {10.1109/ECC.2015.7330575},
 language = {english},
 month = {July 15 -- 17},
 mrtnote = {FuzzyIdControl,peer},
 owner = {duerrbaum},
 pages = {392 -- 397},
 timestamp = {2015.02.20},
 title = {Drift Term Compensating Control for Off-Equilibrium Operation of Nonlinear Systems with {Takagi}-{Sugeno} Fuzzy
Models},
 year = {2015}
}

@inproceedings{2014-QIRT_Ulaval,
 address = {Bordeaux, France},
 author = {Samuel Soldan and Denis Ouellet and Peyman Hedayati and Hakim Bendada and Denis Laurendeau and Andreas Kroll},
 booktitle = {12th International Conference for Quantitative
InfraRed Thermography (QIRT 2014)},
 month = {7 -- 11 July},
 mrtnote = {robotair, thermofusion,peer,pke},
 owner = {soldan},
 timestamp = {2014.02.25},
 title = {Mapping Non-Destructive Testing Data on the 3D Geometry of Objects with Complex
Shapes},
 url = {https://qirt2014.scientific-event.com/},
 year = {2014}
}

@article{2014-ss_ak-tm-Sensordatenfusion,
 abstract = {In diesem Beitrag wird eine Übersicht über verschiedene Ansätze gegeben, um durch Fusion bzw. Kombination von mehreren, unterschiedlichen Aufnahmen die Qualität des thermografischen Messergebnisses zu verbessern und/oder die Menge an nutzbaren Informationen über ein Messobjekt zu erhöhen. Dabei wird sowohl die Kombination verschiedener Thermografiedaten (uni-modale Fusion), als auch die Sensordatenfusion mit anderen bildgebenden Messverfahren (multi-modale Fusion) behandelt.},
 author = {Samuel Soldan and Andreas Kroll},
 doi = {10.1515/teme-2014-1044},
 journal = {tm -- Technisches Messen},
 keywords = {Thermografie, Sensordatenfusion, Kamerakalibrierung, Registrierung

Datenverdichtung.},
 language = {german},
 month = {Oktober},
 mrtnote = {peer},
 number = {10},
 owner = {duerrbaum},
 pages = {474-484},
 timestamp = {2014.09.08},
 title = {Übersicht zu Sensordatenfusionsansätzen in der
Thermografie},
 url = {https://www.degruyter.com/view/j/teme},
 volume = {81},
 year = {2014}
}

@inproceedings{Zaidi-IFAC-2014,
 abstract = {In modeling of a stochastic nonlinear dynamic system from input-output data, it may be of interest to model uncertainty in the underlying system besides predicting a most likely or average response of the system. Due to stochasticity in the system behavior, the data obtained for identification can be considered as one realization of the underlying stochastic phenomenon. In order to effectively deal with the identification of such systems, it may be advantageous to repeat the identification experiment multiple times under similar conditions. The multiple input-output time series generated in this way thus contain information about stochastic variations within the system. This paper presents one of the possible approaches to effectively deal with identification in such scenario in the framework of Nonlinear Output Error (NOE) Takagi-Sugeno (TS) fuzzy models. Based on extended Chebyshev's inequality for finite samples, the lower and upper boundaries of the output time-series are obtained using (1-$\alpha$) confidence interval (envelops of the response). The proposed identification algorithm provides a model for predicting the most likely value as well as the boundary models for predicting the envelops of the output signal. The experimental results for an electro-mechanical throttle shows the applicability and validity of the proposed approach.},
 address = {Cape Town, South Africa},
 author = {Salman Zaidi and Andreas Kroll},
 booktitle = {19th IFAC World Congress},
 doi = {doi:10.3182/20140824-6-ZA-1003.01443},
 language = {english},
 month = {24-29. August},
 mrtnote = {peer,FuzzyT2},
 pages = {3226-3231},
 title = {On Identifying Envelop Type Nonlinear Output Error Takagi-Sugeno Fuzzy Models for Dynamic Systems with Uncertainties},
 year = {2014}
}

@inproceedings{Zaidi-GMA-2014,
 address = {Dortmund},
 author = {Salman Zaidi and Andreas Kroll},
 booktitle = {24. Workshop Computational Intelligence},
 doi = {10.5445/KSP/1000043427},
 month = {27.-28. November},
 mrtnote = {nopeer,FuzzyT2,pke},
 organization = {GMA-FA 5.14},
 owner = {duerrbaum},
 pages = {173-186},
 publisher = {KIT Scientific Publishing},
 timestamp = {2014.09.23},
 title = {Electro-Mechanical Throttle as a Benchmark Problem for Nonlinear System Identification with
Friction},
 url = {https://www.rst.e-technik.tu-dortmund.de/cms/de/Veranstaltungen/GMA-Fachausschuss/index.html},
 year = {2014}
}

@inproceedings{2014-QIRT_JR,
 address = {Bordeaux, France},
 author = {Rangel González, Johannes Havid and Soldan, Samuel
and Kroll, Andreas},
 booktitle = {12th International Conference for Quantitative
InfraRed Thermography (QIRT 2014)},
 month = {7 -- 11 July},
 mrtnote = {robotair, thermofusion,peer,pke},
 owner = {soldan},
 timestamp = {2014.02.25},
 title = {3D Thermal Imaging: Fusion of Thermography and Depth
Cameras},
 url = {https://qirt2014.scientific-event.com/},
 year = {2014}
}

@inproceedings{ordonezmuller_2014,
 address = {Baden-Baden, Germany},
 author = {Ordonez Müller, Antonio and Kroll, A.},
 booktitle = {Automation 2014},
 file = {Präsentation:Publikationen\\AUTOMATION\\2014\\AutomationKongress2014b.pptx:PowerPoint
2007+;Paper:Publikationen\\AUTOMATION\\2014Zum
Einsatz autonomer kooperierende mobiler Roboter mit
aktiver optischer Fernmesstechnik für
Roboter-basierte Inspektionen.pdf:PDF},
 language = {english},
 month = {July 1. -- 2.},
 mrtnote = {robogas, nopeer,pke},
 owner = {Ordonez Müller},
 timestamp = {2013.12.13},
 title = {On the use of Cooperative Autonomous Mobile Robots and Optical Remote Sensing in Inspection
Robotics},
 url = {https://www.automatisierungskongress.de/},
 year = {2014}
}

@inproceedings{ECC2014-Wagner_Kroll,
 abstract = {A clustering-based method to identify models that are piecewise affine or of Takagi-Sugeno type is presented. As prototype-based clustering algorithms, which are well suited for partitioning, frequently converge to unwanted local solutions, density-based noise clustering is used to initialize them. The clustering acts in a mixed parameter-position feature space and divides the data into separate sets for identifying local models and partition boundaries, which are assumed to be piecewise planar. The obtained partitions are tested on linearity and otherwise replaced each by a TS model that is identified from the respective data. The method is demonstrated for a test problem that includes switching, local polynomial nonlinearity as well as non-convex partition boundaries.},
 address = {Strasbourg},
 author = {Moritz Wagner and Andreas Kroll},
 booktitle = {13th European Control Conference (ECC 14)},
 isbn = {978-3-9524269-2-0},
 language = {english},
 month = {25-27. June 2014},
 mrtnote = {peer,talk:kroll},
 organization = {IEEE},
 owner = {duerrbaum},
 pages = {394 -- 399},
 timestamp = {2014.03.14},
 title = {A method to identify hybrid systems with mixed piecewise affine or nonlinear models of Takagi-Sugeno
type},
 url = {https://www.ecc14.eu/},
 year = {2014}
}

@inproceedings{KahlGMA2014,
 address = {Dortmund},
 author = {Matthias Kahl and Andreas Kroll and Robert Kästner
and Manfried Sofsky},
 booktitle = {24. Workshop Computational Intelligence},
 doi = {10.5445/KSP/1000043427},
 editor = {Frank Hoffmann and Eike Hüllermeier},
 month = {27.-28. November},
 mrtnote = {nopeer,DynModNL,pke,SFS_TS},
 organization = {GMA-FA 5.14 "Computational Intelligence" und GI-FG "Fuzzy-Systeme und
Soft-Computing"},
 owner = {kahl},
 pages = {33-53},
 publisher = {KIT Scientific Publishing},
 series = {Schriftenreihe des Instituts für Angewandte
Informatik / Automatisierungstechnik},
 timestamp = {2014.09.23},
 title = {Zur automatisierten Auswahl signifikanter Regressoren für die Identifikation eines dynamischen Ladedruckmodells},
 year = {2014}
}

@incollection{sommer2011CDCS,
 address = {Liège, Belgium},
 author = {Kroll, Andreas and Sommer, Hanns-Jakob},
 booktitle = {International Journal of Computing Anticipatory
Systems},
 editor = {Daniel M. Dubois},
 isbn = {2-930396-19-9},
 issn = {1373-5411},
 language = {english},
 mrtnote = {peer},
 owner = {duerrbaum},
 pages = {161-179},
 publisher = {CHAOS},
 timestamp = {2015.01.12},
 title = {Coordination of Distributed Control Systems},
 volume = {30},
 year = {2014}
}

@article{at-Editorial_ak_2014,
 abstract = {Der von der Gesellschaft für Mess- und Automatisierungstechnik (GMA) getragene Fachausschuss 5.14 Computational Intelligence [1] bietet Anwendern, Ingenieuren und Wissenschaftlern aus unterschiedlichen Fachgebieten ein Forum zum regelmäßigen Gedankenaustausch. Dieses Schwerpunktheft reflektiert das Spektrum der Arbeiten des Fachausschusses und basiert unter anderem auf Beiträgen des 21. Workshops Computational Intelligence, der im Dezember 2011 in Dortmund stattgefunden hat. Es knüpft thematisch an die beiden vorausgehenden, aus dem Fachausschuss entstandenen at-Schwerpunkthefte in den Jahren 2008 und 2009.},
 author = {Frank Hoffmann and Eyke Hüllermeier and Andreas
Kroll},
 doi = {10.1515/auto-2014-1137},
 journal = {at -- Automatisierungstechnik},
 language = {german},
 mrtnote = {nopeer,pke},
 number = {10},
 owner = {duerrbaum},
 pages = {685-686},
 timestamp = {2014.10.30},
 title = {Ausgewählte Beiträge des GMA-Fachausschusses 5.14 "Computational Intelligence"
(Editorial)},
 url = {https://www.oldenbourg-link.com/toc/auto/},
 volume = {62},
 year = {2014}
}

@article{2014-Kroll-Benchmark_NL-Applied_Soft_Computing,
 abstract = {Using benchmark problems to demonstrate and compare novel methods to the work of others could be more widely adopted by the Soft Computing community. This article contains a collection of several benchmark problems in nonlinear control and system identification, which are presented in a standardized format. Each problem is augmented by examples where it has been adopted for comparison. The selected examples range from component to plant level problems and originate mainly from the areas of mechatronics/drives and process systems. The authors hope that this overview contributes to a better adoption of benchmarking in method development test and demonstration.},
 author = {Andreas Kroll and Horst Schulte},
 doi = {10.1016/j.asoc.2014.08.034},
 journal = {Applied Soft Computing},
 keywords = {Benchmarking, Nonlinear control, Nonlinear system
identification},
 language = {english},
 month = {Dezember},
 mrtnote = {peer},
 mrturla = {https://mrt-pc1.mrt.maschinenbau.uni-kassel.de/MRT/Bibliothek/Publikationen/2014-Kroll_Schulte-ASC-Benchmark.pdf},
 owner = {duerrbaum},
 pages = {496-513},
 timestamp = {2014.09.30},
 title = {Benchmark problems for nonlinear system identification and control using Soft Computing methods: need and
overview},
 url = {https://www.sciencedirect.com/science/article/pii/S1568494614003998},
 volume = {25},
 year = {2014}
}

@inproceedings{Geiger2014a,
 address = {Magdeburg},
 author = {Andreas Geiger and Andreas Kroll},
 booktitle = {EKA 2014 Entwurf komplexer Automatisierungssysteme},
 language = {deutsch},
 month = {14.-15. Mai},
 mrtnote = {Netze, peer,pke},
 owner = {geiger},
 timestamp = {2010.07.06},
 title = {Komplexe Netzwerke zur Modellierung und Analyse von Anlagen: Qualitative Detektion des Inverse-Response-Verhaltens von Systemen höherer Ordnung},
 year = {2014}
}

@article{RGI-ExMagazin2014,
 abstract = {Nine project partners developed the prototype of an autonomous mobile robot for detecting gas leaks in extensive industrial plants within the context of the ÄUTONOMIK" programme of the German Federal Ministry for Economic Affairs and Energy. The system's autonomous mobility was put into practice using various sensors for auto-localisation and navigation. In addition, it includes an option to intervene manually in the process using teleoperation. Equipped with video and remote gas detection technology, the robot can carry out inspections in industrial plants without having to enter possible hazard areas and without any person present on site. The robot can be used for routine inspection of plants or systematic examination of specific parts of the plant. Using remote metrology technology, it is also possible to inspect parts of the plant that are difficult to inspect using traditional measuring instruments due to limited accessibility.},
 author = {Abdelkarim Habib and Gero Bonow and Andreas Kroll and Jens Hegenberg and Ludger Schmidt and Thomas Barz and Dirk
Schulz},
 journal = {{Ex-MAGAZINE} 2014},
 language = {english},
 mrtnote = {robogas,pke,nopeer},
 note = {ISSN 0176-2419},
 owner = {duerrbaum},
 pages = {91-97},
 timestamp = {2015.01.21},
 title = {Robo{G}as{I}nspector Research Project: Detecting Gas Leaks With Autonomous Mobile
Robots},
 url = {https://www.r-stahl.com/fileadmin/Dateien/ex-zeitschrift/2014/en/Ex_Magazine_2014_web.pdf},
 volume = {40},
 year = {2014}
}

@article{at-Ren_2012,
 abstract = {Dynamische Modelle sind die Grundlage für verschiedenste Analyse- und Entwurfsaufgaben. Die Modellbildung von Systemen mit signifikanten Reibeffekten stellt eine schwierige Aufgabe dar. Dazu werden im vorliegenden Beitrag Verfahren zur physikalischen und datengetriebenen Modellbildung vorgestellt und am Beispiel von Drosselklappen an Diesel-Motoren angewendet. Die Modelle werden in der HiL-Simulation für Tests von Motorsteuergeräten eingesetzt.},
 author = {Zhenxing Ren and Andreas Kroll and Manfried Sofsky
and Friedhelm Laubenstein},
 doi = {10.1524/auto.2013.0023},
 journal = {at -- Automatisierungstechnik},
 keywords = {Physikalische Modellbildung, Identifikation, datengetriebene Modellbildung, PWA-Modell, Systeme mit Reibung

Hardware-in-the-Loop-Simulation},
 language = {german},
 mrtnote = {peer,Drosselklappe},
 number = {3},
 owner = {ren},
 pages = {155 -- 171},
 timestamp = {2012.08.22},
 title = {Zur physikalischen und datengetriebenen Modellbildung von Systemen mit Reibung: Methoden und Anwendung auf
Kfz-Drosselklappen},
 volume = {61},
 year = {2013}
}

@inproceedings{Soldan_2013_AITA,
 abstract = {Optical IR cameras for gas visualization/imaging have gained acceptance and popularity in the past years. With these devices the scene is displayed as a thermal image while the gas is visible as hot/cold haze. As this is an imaging technique the operator can easily inspect large areas and detect and pinpoint leaks. The interpretation and analysis of the data is however still being carried out manually with little assistance from the camera. This article briefly presents the measurement method, discusses identifiable characteristics of gas clouds and the necessary steps for automating the image processing of the recorded measurement sequences.},
 address = {Turin -- Italy},
 author = {Samuel Soldan and Andreas Kroll},
 booktitle = {AITA 2013 -- Advanced Infrared Technology and
Applications},
 file = {Proceedings:M\:\\Bibliothek\\Extern\\Konferenzen\\AITA2013\\abstractBook2013.pdf:PDF},
 month = {10. -- 13.09.},
 mrtnote = {robogas, thermofusion, nopeer,pke},
 owner = {soldan},
 pages = {195-199},
 timestamp = {2013.07.11},
 title = {Towards Automated Gas Leak Detection Using IR Gas
Imaging Cameras},
 url = {https://ronchi.isti.cnr.it/AITA2013},
 year = {2013}
}

@inproceedings{Zaidi-GMA-2013,
 address = {Dortmund},
 author = {Salman Zaidi and Andreas Kroll},
 booktitle = {23. Workshop Computational Intelligence},
 doi = {10.5445/KSP/1000036887},
 month = {5-6. Dezember},
 mrtnote = {nopeer,FuzzyT2,pke},
 organization = {GMA-FA 5.14},
 pages = {129-143},
 publisher = {KIT Scientific Publishing},
 title = {On identifying nonlinear envelop type dynamical T-S fuzzy models for systems with uncertainties: method and application to electro-mechanical
throttle},
 url = {https://www.rst.e-technik.tu-dortmund.de/cms/de/Veranstaltungen/GMA-Fachausschuss/index.html},
 year = {2013}
}

@inproceedings{ordonezmuller_2013b,
 abstract = {Early detection of gas leakages in petrochemical plants is of great concern due to their potential threat to human safety, the environment and the infrastructure. Hand-held devices based on Tunable Diode Laser Absorption Spectroscopy (TDLAS) technology have proven to be an effective way to detect and locate such leaks. The theory behind these devices is well documented, but little information is available on the effects that laser beam divergence has on the ability to detect gas plumes at long distances. This contribution attempts to explain how the background reflectance and the laser intensity profile affect the concentration readings as the distance to the objects under inspection increases.},
 address = {Turin, Italy},
 author = {Ordonez Müller, Antonio and Kroll, A.},
 booktitle = {International Workshop on Advanced Infrared Technology and Applications - AITA
2013},
 file = {Präsentation:M\:\\Bibliothek\\MRT\\Publikationen\\AITA_2013\\mueller\\Effects
of beam divergence in hand-held TDLAS sensors on
long distance gas concentration
measurements.pptx:PowerPoint;Paper:M\:\\Bibliothek\\MRT\\Publikationen\\AITA_2013\\mueller\\Effects
of beam divergence in hand-held TDLAS sensors on
long distance gas concentration
measurements.pdf:PDF},
 language = {english},
 month = {Sept. 10-13},
 mrtnote = {robogas,nopeer,pke},
 owner = {Ordonez Müller},
 pages = {9-13},
 timestamp = {2013.04.23},
 title = {Effects of beam divergence in hand-held TDLAS sensors on long distance gas concentration measurements},
 url = {https://ronchi.isti.cnr.it/AITA2013},
 volume = {12},
 year = {2013}
}

@inproceedings{ordonezmuller_2013a,
 abstract = {Uncontrolled emissions of harmful gases pose a real threat to human safety and the environment. A cost effective way to effectively monitor the presence of such gases in large environments like industrial plants is highly desirable. This paper discusses the issues that arise when using retro-reflectors to extend the operating range of a commercial device that utilizes Tunable Diode Laser Absorption Spectroscopy (TDLAS) for remote gas sensing.},
 address = {EXCO, Daegu, Korea},
 author = {Ordonez Müller, Antonio and Kroll, A.},
 booktitle = {International Symposium on Olfaction and Electronic
Nose -- {ISOEN} 2013},
 file = {Präsentation:M\:\\Bibliothek\\MRT\\Publikationen\\ISOEN_2013\\On
Range Extension of TDLAS Based Devices in Remote Gas
Sensing
Applications_presented.pptx:PowerPoint;Paper:M\:\\Bibliothek\\MRT\\Publikationen\\ISOEN_2013\\On
Range Extension of TDLAS Based Devices in Remote Gas
Sensing Applications_BMBF.pdf:PDF},
 language = {english},
 month = {July 2-5},
 mrtnote = {robotair, peer},
 owner = {Ordonez Müller},
 timestamp = {2013.03.25},
 title = {On Range Extension of Tunable Diode Laser Absorption Spectroscopy (TDLAS) Based Devices in Remote Gas Sensing
Applications},
 url = {https://www.olfactionsociety.org/event/isoen-2013},
 year = {2013}
}

@misc{DPatent2013,
 abstract = {Die Erfindung betrifft eine Vorrichtung zur Inspektion einer Windkraftanlage (1) mit einer vertikal entlang eines Turmes (2) einer Windkraftanlage (1) verfahrbaren Inspektionsplattform (3), wobei die Inspektionsplattform (3) aus wenigstens zwei verschwenkbar miteinander verbundenen Modulen (4) besteht und wobei jedes Modul (4) wenigstens ein Abrollelement (5) aufweist, welches beim vertikalen Verfahren der Vorrichtung am Turm (2) der Windkraftanlage (1) abrollt, und wobei die Inspektionsplattform (3) mittels an ihr an Befestigungselementen (18) befestigten Seilen (6) verfahrbar ist, welche über eine Seilführung (7) mit der Gondel (8) der Windkraftanlage (1) verbunden sind, wobei den Seilen (6) jeweils ein separater Seilantrieb (10) zugeordnet ist, durch welche die Inspektionsplattform (3) entlang des Turmes (2) der Windkraftanlage (1) verfahrbar ist.},
 address = {Universität Kassel},
 assignee = {Universität Kassel},
 author = {Kroll, Andreas and Bonow, Gero},
 day = {11.07.2013},
 language = {german},
 mrtnote = {patent},
 nationality = {Deutsch},
 note = {WO 2015 003694 A1},
 number = {DE 10 2013 1073 74 A1},
 owner = {baetz},
 timestamp = {2009.08.27},
 title = {Vorrichtung zur Inspektion einer Windkraftanlage},
 type = {Patent},
 url = {https://depatisnet.dpma.de/DepatisNet/depatisnet?window=1&space=menu&content=treffer&action=bibdat&docid=DE102013107374A1},
 year = {2013}
}

@misc{OberseminarMRTWS1213,
 abstract = {Inhaltsverzeichnis: - Cyber-Physical Systems in der Produktion: Forschungsaktivitäten und Forschungsfragestellungen (Sören Dierks) - Cyber-Physikalische Systeme (Duc van Tong) - Cyber-Physical Systems: Herausforderungen an die Produktion (Vincent Levavasseur)},
 address = {Universität Kassel},
 author = {Kroll, Andreas},
 editor = {Kroll, Andreas},
 language = {german},
 month = {Mai},
 mrtnote = {education},
 mrtnr = {097},
 organization = {Universität Kassel},
 owner = {duerrbaum},
 school = {FG Mess- und Regelungstechnik},
 timestamp = {2010.10.25},
 title = {Berichtsband zum Oberseminar Mess- und
Automatisierungstechnik WS 2012/2013},
 year = {2013}
}

@article{Habib2013,
 abstract = {Im Rahmen des Förderprogramms AUTONOMIK des Bundesministeriums für Wirtschaft und Technologie wurde in einem Konsortium aus neun Projektpartnern der Prototyp eines autonomen mobilen Roboters zur Gaslecksuche in ausgedehnten Industrieanlagen entwickelt. Anhand verschiedener Sensorik zur Selbstlokalisierung und Navigation wurde die autonome Beweglichkeit des Systems für beliebige Anlagen realisiert, mit der Option anhand von Teleoperation manuell in den Prozess einzugreifen. Ausgestattet mit Video- und Gasfernmesstechnik ist der Roboter imstande, Inspektionsaufgaben in Industrieanlagen durchzuführen, ohne in mögliche Gefahrenbereiche direkt einfahren zu müssen und ohne, dass ein Mensch vor Ort anwesend ist. Der Roboter kann zur routinemäßigen Inspektion von Anlagen oder zur gezielten Untersuchung spezifischer Anlagenteile engesetzt werden. Dank der verwendeten Fernmesstechnik können auch Anlagenteile inspiziert werden, die aufgrund ihrer beschränkten Zugänglichkeit mittels herkömmlicher Messtechnik nur schwer zu inspizieren sind.},
 author = {Habib, Abdelkarim and Bonow, Gero and Kroll, Andreas and Hegenberg, Jens and Schmidt, Ludger and Barz, Thomas and Schulz

Dirk},
 journal = {Technische Sicherheit},
 keywords = {Robogasinspector},
 language = {deutsch},
 month = {Mai},
 mrtnote = {robogas,pke,nopeer},
 number = {5},
 owner = {bonow},
 pages = {10-15},
 timestamp = {2013.04.17},
 title = {Forschungsprojekt RoboGasInspector: Gaslecksuche mit
autonomen mobilen Robotern},
 volume = {3},
 year = {2013}
}

@inproceedings{2013-Bonow_Kroll-ICRA-Gas_leak_localization,
 abstract = {In order to automate routine inspections in large industrial environments, a mobile robotic system is being developed in the RoboGasInspector project. The robot's sensor-head consists of different instruments for remote gas sensing using multiple measurement principles. This contribution focuses on Tunable Diode Laser Absorption Spectroscopy (TDLAS). The measurement device allows quantitative gas concentration measurements and achieves high sensitivity due to the active measurement principle. On the contrary, TDLAS systems measure the concentration along a path at a time and require a diffusely reflecting background. Using a pan-tilt unit, objects and areas can be scanned. This paper describes the triangulation-maximization leak-localizing strategy (Tri-Max) used in the project RoboGasInspector. Results based on outdoor experiments in two industrial plants and a landfill dump are presented.},
 address = {Karlsruhe, Germany},
 author = {Gero Bonow and Andreas Kroll},
 booktitle = {IEEE International Conference on Robotics and
Automation (ICRA)},
 doi = {10.1109/ICRA.2013.6630693},
 isbn = {978-1-4673-5641-1},
 issn = {1050-4729},
 language = {english},
 month = {May},
 mrtnote = {peer,robogas},
 owner = {duerrbaum},
 pages = {987 -- 992},
 publisher = {IEE},
 timestamp = {2015.04.08},
 title = {Gas leak localization in industrial environments using a TDLAS-based remote gas sensor and autonomous mobile robot with the Tri-Max
method},
 year = {2013}
}

@techreport{Robogas01MA09023A,
 address = {Universität Kassel},
 author = {Andreas Kroll and Ludger Schmidt and Gero Bonow and Liubov Cramar and Jens Hegenberg and Antonio Ordonez Müller and Samuel
Soldan},
 institution = {FG Mess- und Regelungstechnik},
 language = {german},
 mrtnr = {RP1},
 timestamp = {2014.09.16},
 title = {Mensch-Roboter-Interaktion und
Mess-/Inspektionsstrategie},
 type = {Schlussbericht zum Forschungsprojekt},
 year = {2013}
}

@techreport{2013-Schlussbericht-RoboGasInspector,
 address = {Universität Kassel},
 author = {Andreas Kroll and Ludger Schmidt and Gero Bonow and Liubov Cramar and Jens Hegenberg and Antonio Ordonez Müller and Samuel
Soldan},
 doi = {10.2314/GBV:83472569X},
 institution = {FG Mess- und Regelungstechnik},
 language = {german},
 number = {01MA09023A, 01075387},
 owner = {duerrbaum},
 pagetotal = {61},
 timestamp = {2020.09.10},
 title = {RoboGasInspector -- Simulationsgestützter Entwurf und Evaluation eines Mensch-Maschine-Systems mitautonomen mobilen Inspektionsrobotern zur Gasleck-Ferndetektion und -ortung in technischen Anlagen},
 type = {Schlussbericht},
 url = {https://www.tib.eu/de/suchen/id/tema:TEMA20130501415/},
 urldate = {10.9.2020},
 year = {2013}
}

@book{CIAKroll2013,
 abstract = {Das erste deutschsprachige Lehrbuch zum Thema Computational Intelligence für Ingenieure. Beschreibung, Analyse und Entwurf technischer Systeme werden zunehmend komplexer und erfordern neuartige Lösungsansätze. Durch die Natur inspiriert entstanden verschiedene Berechnungsverfahren, die im Wissenschaftsgebiet der Computational Intelligence (CI) zusammengefasst sind. Hierzu zählen die etablierten Kernbereiche der Fuzzy-Systeme, Künstliche Neuronale Netze und Evolutionäre Algorithmen sowie aus diesen zusammengeführte Hybride Methoden. Hinzu kommen die noch jungen Gebiete der Schwarmintelligenz und der künstlichen Immunsysteme. So bewegt sich die CI an der Schnittstelle zwischen Ingenieurswissenschaften und Informatik. Dieses Buch bietet eine gut verständliche, vereinheitlichende und anwendungsorientierte Einführung in das Thema und vermittelt Studenten und berufstätigen Ingenieuren das notwendige Fachwissen. Neben den methodischen Erläuterungen sind einfach nachvollziehbare Beispiele integriert, die die Funktion der Methoden veranschaulichen. Darüber hinaus wurden Praxisbeispiele zur Illustration der praktischen Relevanz aufgenommen.},
 address = {München},
 author = {Andreas Kroll},
 isbn = {78-3-486-73742-4},
 language = {german},
 note = {428 Seiten},
 owner = {duerrbaum},
 publisher = {Oldenbourg Verlag},
 timestamp = {2013.04.29},
 title = {Computational Intelligence -- Eine Einführung in Probleme
Methoden und technische
Anwendungen},
 url = {https://www.degruyter.com/view/product/232244},
 year = {2013}
}

@article{at-Boppard-2013,
 author = {Andreas Kroll},
 doi = {10.1524/auto.2013.1022},
 journal = {at -- Automatisierungstechnik},
 language = {german},
 mrtnote = {nopeer,pke},
 number = {61},
 owner = {duerrbaum},
 pages = {375-376},
 timestamp = {2012.05.07},
 title = {Vom 47. Regelungstechnischen Kolloquium in Boppard},
 url = {https://www.oldenbourg-link.com/doi/abs/10.1524/auto.2013.1022},
 volume = {5},
 year = {2013}
}

@inproceedings{Geiger2013a,
 address = {Reykjavik},
 author = {Andreas Geiger and Hanns Sommer and Andreas Kroll},
 booktitle = {10th International Conference on Informatics in Control
Automation and Robotics
(ICINCO)},
 language = {english},
 month = {29.-31. July},
 mrtnote = {peer},
 owner = {duerrbaum},
 timestamp = {2010.07.06},
 title = {In Need of Methods to Solve Imprecisely Posed
Problems},
 year = {2013}
}

@inproceedings{Geiger2013,
 address = {Singapore},
 author = {Andreas Geiger and Andreas Kroll},
 booktitle = {CICA 2013 IEEE Symposium on Computational
Intelligence in Control and Automation},
 language = {english},
 month = {15.-19. April},
 mrtnote = {Netze, peer},
 organization = {IEEE Symposium Series on Computational Intelligence
2013},
 owner = {duerrbaum},
 timestamp = {2010.07.06},
 title = {Modeling and Analyzing Technical Systems as Complex Networks: Detecting Inverse
Response},
 year = {2013}
}

@inproceedings{Ren2012,
 address = {Brussels, Belgium},
 author = {Zhenxing Ren and Andreas Kroll and Manfried Sofsky
and Friedhelm Laubenstein},
 booktitle = {Sysid 2012, 16th IFAC Symposium on System
Identification Brussels},
 doi = {10.3182/20120711-3-BE-2027.00137},
 editor = {IFAC},
 month = {11.-13. 07.2012},
 mrtnote = {peer, Drosselklappe},
 number = {1},
 organization = {IFAC},
 owner = {ren},
 pages = {1395-1400},
 publisher = {Elsevier Ltd.},
 timestamp = {2012.01.31},
 title = {On identification of piecewise-affine models for systems with friction and its application to electro-mechanical
throttles},
 volume = {16},
 year = {2012}
}

@inproceedings{2012-fsr,
 abstract = {Detection and localization of escaped hazardous gases is of great industrial and public interest in order to prevent harm to humans, nature and assets or just to prevent financial losses. The development of novel leak-detection technologies will yield better coverage of inspected objects while helping to lower plant operation costs at the same time. Moreover, inspection personnel can be relieved from repetitive work and focus on value-adding supervisory control and optimization tasks. The proposed system consists of autonomous mobile inspection robots that are equipped with several remote gas sensing devices and local intelligence. Chain-driven all-terrain robots are used that can handle slopes, unpaved routes and offer maneuverability in restricted spaces as required for inspecting plants such as petroleum refineries, tank farms or chemical sites. The robots can detect and locate gas leaks autonomously to a great extent using infrared optical spectroscopic and thermal remote sensing techniques and data processing. This article gives an overview of the components of the robotic system prototype, i.e. the robotic platform and the remote sensing and evaluation module. The software architecture, including the robot middleware and the measurement routines, are described. Results from testing autonomous mobility and object inspection functions in a large test course are presented.},
 address = {Matsushima, Japan},
 author = {Samuel Soldan and Jochen Welle and Thomas Barz and
Andreas Kroll and Dirk Schulz},
 booktitle = {Field and Service Robotics Results of the 8th
International Conference},
 comment = {Konferenz:
https://www.astro.mech.tohoku.ac.jp/FSR2011/},
 doi = {10.1007/978-3-642-40686-7_16},
 editor = {Kazuya Yoshida and Satoshi Tadokoro},
 isbn = {978-3-642-40685-0},
 month = {16 -- 19 July},
 mrtnote = {robogas, peer, thermofusion},
 owner = {soldan},
 pages = {233-247},
 publisher = {Springer Berlin Heidelberg},
 series = {Springer Tracts in Advanced Robotics},
 timestamp = {2012.03.30},
 title = {Towards Autonomous Robotic Systems for Remote Gas Leak Detection and Localization in Industrial Environments},
 url = {https://link.springer.com/chapter/10.1007/978-3-642-40686-7_16},
 volume = {92},
 year = {2012}
}

@inproceedings{ifac-oilfield_2012,
 abstract = {In order to automate the routine inspections in large industrial environments a mobile robotic system is being developed in the project RoboGasInspector. The robot's sensor-head consists of different instruments for remote sensing using multiple measurement principles. First results show that passive IRthermographic imaging can be used to detect leaks in pipes as well as liquid spills on the ground. The measurable effects are the temperature profile disturbance due to expansion of pressured gas and evaporative cooling, respectively. Tunable Diode Laser Absorption Spectroscopy (TDLAS) measurement systems provide for quantitative gas concentration measurements and feature a high sensitivity due to the active measurement principle. On the contrary, TDLAS systems measure just the concentration along a path at a time and require a diffusely reflecting background. Using a Pan-Tilt Unit, objects/areas can be scanned and discrete maps of the gas concentration can be created. This contribution introduces the project RoboGasInspector and presents the used measurement technology as well as first results},
 address = {Norwegian University of Science and Technology,
Trondheim, Norway,},
 author = {Samuel Soldan and Gero Bonow and Andreas Kroll},
 booktitle = {Proceedings of the 2012 IFAC Workshop on Automatic Control in Offshore Oil and Gas
Production},
 file = {Paper_initial_submission:M\:\\Bibliothek\\MRT\\Publikationen\\ACOOG2012\\Submitted
Version\\Soldan_Bonow_Kroll_RoboGasInspector_ACOOG_2012.pdf:PDF},
 month = {31.05 -- 01.06.},
 mrtnote = {robogas, peer, thermofusion},
 owner = {soldan},
 pages = {33-38},
 timestamp = {2011.11.28},
 title = {RoboGasInspector -- A Mobile Robotic System for Remote Leak Sensing and Localization in Large Industrial Environments: Overview and First
Results},
 url = {https://www.sciencedirect.com/science/article/pii/S147466701537244X},
 year = {2012}
}

@inproceedings{sensor+test2012,
 abstract = {Eine regelmäßige und sorgfältige Inspektion von druckführenden Komponenten in Industrieanlagen (z. B. Mineralölraffinerien oder Chemieanlagen) ermöglicht ein frühzeitiges Erkennen von möglichen Störungen und Defekten und gewährleistet dadurch eine Betriebssicherheit auf hohem Niveau. Routineinspektionen werden oft nur mit einfachen lokal messenden Gasmessgeräten durchgeführt und sind durch wechselnde Inspekteure und Schichtarbeit personen- und tagesformabhängig. Dabei ist die Inspektionstätigkeit zumeist monoton und ermüdend. Die hohen Anschaffungskosten, die notwendige umfangreiche Einarbeitung in die Bedienung, die niedrige Auslastung bei manueller Verwendung sowie das schwer quantifizierbare Einsparungspotential schrecken oft von der Beschaffung von Fernmessgeräten ab. Ziel des Projektes RoboGasInspector ist die Entwicklung eines mobilen, mit infrarotoptischer Fernmesstechnik ausgestatteten professionellen Service-Roboters für die Routineinspektion von Industrieanlagen. Durch den Einsatz auf einem Roboter kann die Messtechnik voll ausgelastet werden, da dieser rund um die Uhr im Betrieb sein kann. Der Mensch wird von eintöniger Arbeit entlastet und das Fachpersonal steht für anspruchsvollere Aufgaben zur Verfügung. Die Reproduzierbarkeit der Ergebnisse wird verbessert und lässt zudem eine präzisere Differentialdiagnose mit historischen Daten zu; dadurch kann auch der Schädigungsverlauf dokumentiert werden. Durch die Verwendung von Messgeräten mit verschiedenen Messprinzipien kann eine Leckhypothese abgesichert und die Wahrscheinlichkeit von Falschalarmen reduziert werden. Die Interoperabilität der verschiedenen Messgeräte und deren modularer, mechanischer und elektrischer, spritzwassergeschützter Aufbau auf einer mobilen Roboterplattform wird in diesem Beitrag diskutiert und mit praktischen Erfahrungen zur Leistungsfähigkeit des Systems abgerundet. Dazu wurde ein modulares Messsystem entworfen, prototypisch realisiert und im Labor getestet. Das System verfügt über eigene Rechenkapazität und fasst die unterschiedlichen Schnittstellen sowie die Messdatenerfassung der Messgeräte zusammen. Dies vereinfacht somit die Verwendung des Systems auf verschiedenen Roboterplattformen.},
 address = {Nürnberg, Germany},
 author = {Samuel Soldan and Gero Bonow and Andreas Kroll},
 booktitle = {16. GMA/ITG Fachtagung Sensoren und Messsysteme
2012},
 doi = {DOI 10.5162/sensoren2012/1.4.2},
 editor = {G. Gerlach and R. Tutsch},
 file = {Tagungsband:M\:\\Bibliothek\\Extern\\Konferenzen\\Sensoren-und-Messsysteme_2012\\Sensoren-und-Messsysteme-2012_Tagungsband.pdf:PDF;Abstract:M\:\\Bibliothek\\MRT\\Publikationen\\Sensoren
und Messsysteme
2012\\Kurzfassung\\Soldan_Uni-Kassel_Beitrag_Sensoren-und-Messsysteme-2012.pdf:PDF},
 isbn = {978-3-9813484-0-8},
 month = {22. -- 23.05.},
 mrtnote = {robogas, thermofusion, nopeer,pke},
 owner = {soldan},
 pages = {126-135},
 publisher = {AMA Service GmbH},
 timestamp = {2011.11.28},
 title = {Auswahl und Aufbau eines Multisensor-Fernmesssystems zur Fluidleckerkennung für den Einsatz auf einem mobilen
Industrie-Inspektionsroboter},
 url = {https://www.sensoren2012.de/},
 year = {2012}
}

@inproceedings{Zaidi-GMA-2012,
 address = {Dortmund},
 author = {Salman Zaidi and Andreas Kroll and Hanns-Jakob
Sommer},
 booktitle = {22. Workshop Computational Intelligence},
 editor = {Frank Hoffmann and Eike Hüllermeier},
 language = {english},
 month = {6-7. Dezember},
 mrtnote = {nopeer,FuzzyT2,pke},
 organization = {GMA-FA 5.14},
 owner = {duerrbaum},
 pages = {179-199},
 publisher = {KIT Scientific Publishing},
 timestamp = {2012.10.08},
 title = {On Description and Identification of Uncertainties in System Modeling with Fuzzy
Logic},
 url = {https://www.rst.e-technik.tu-dortmund.de/cms/de/Veranstaltungen/GMA-Fachausschuss/index.html},
 year = {2012}
}

@article{at-Editorial_ak_2012,
 abstract = {Der von der Gesellschaft für Mess- und Automatisierungstechnik (GMA) getragene Fachausschuss 5.14 Computational Intelligence [1] bietet Anwendern, Ingenieuren und Wissenschaftlern aus unterschiedlichen Fachgebieten ein Forum zum regelmäßigen Gedankenaustausch. Dieses Schwerpunktheft reflektiert das Spektrum der Arbeiten des Fachausschusses und basiert unter anderem auf Beiträgen des 21. Workshops Computational Intelligence, der im Dezember 2011 in Dortmund stattgefunden hat. Es knüpft thematisch an die beiden vorausgehenden, aus dem Fachausschuss entstandenen at-Schwerpunkthefte in den Jahren 2008 und 2009.},
 author = {Frank Hoffmann and Eyke Hüllermeier and Andreas
Kroll},
 doi = {10.1524/auto.2012.9102},
 journal = {at -- Automatisierungstechnik},
 language = {german},
 mrtnote = {nopeer,pke},
 number = {10},
 owner = {duerrbaum},
 pages = {587-588},
 timestamp = {2012.05.07},
 title = {Ausgewählte Beiträge des GMA-Fachausschusses 5.14 "Computational Intelligence"
(Editorial)},
 url = {https://www.oldenbourg-link.com/toc/auto/60/10?ai=rw&ui=i20&af=H},
 volume = {60},
 year = {2012}
}

@inproceedings{2012-Kroll-GMA_CI-Benchmark,
 address = {Dortmund},
 author = {F. Hoffmann and R. Mikut and A. Kroll and M. Reischl and O. Nelles and H. Schulte and T.
Bertram},
 booktitle = {22. Workshop Computational Intelligence},
 doi = {10.5445/KSP/100002991},
 language = {german},
 month = {6 -- 7. Dezember},
 owner = {duerrbaum},
 pages = {1 -- 42},
 publisher = {KIT Scientific Publishing},
 timestamp = {2018.08.23},
 title = {Computational Intelligence: State-of-the-Art
Methoden und Benchmarkprobleme},
 year = {2012}
}

@inproceedings{SIDE-EC-2012,
 address = {Zakopane, Poland},
 author = {Chun Liu and Andreas Kroll},
 booktitle = {International Symposium on Swarm Intelligence and Differential Evolution
SIDE
2012},
 doi = {https://dx.doi.org/10.1007/978-3-642-29353-5_33},
 editor = {Rutkowski, L. et al},
 file = {ICAISC2012 (SIDE2012):M\:\\Bibliothek\\MRT\\Publikationen\\ICAISC2012\\On
Designing Genetic Algorithms for Solving Small- and
Medium-Scale Traveling Salesman Problems.pdf:PDF},
 language = {english},
 month = {April 29 - May 3},
 mrtnote = {MultiRobot,peer},
 pages = {283-291},
 series = {LNCS 7269},
 timestamp = {2012.05.08},
 title = {On Designing Genetic Algorithms for Solving Small- and Medium-Scale Traveling Salesman
Problems},
 year = {2012}
}

@inproceedings{ICAISC2012,
 address = {Zakopane, Poland},
 author = {Chun Liu and Andreas Kroll},
 booktitle = {11th International Conference on Artificial Intelligence and Soft Computing
ICAISA
2012},
 doi = {https://dx.doi.org/10.1007/978-3-642-29350-4_56},
 editor = {Rutkowski, L. et al},
 file = {ICAISC2012:M\:\\Bibliothek\\MRT\\Publikationen\\ICAISC2012\\A
Centralized Multi-Robot Task Allocation for
Industrial Plant Inspection by Using A and Genetic
Algorithms.pdf:PDF},
 language = {english},
 month = {April 29 - May 3},
 mrtnote = {MultiRobot,peer},
 pages = {466-474},
 series = {LNCS 7268},
 timestamp = {2012.05.08},
 title = {A Centralized Multi-Robot Task Allocation for Industrial Plant Inspection by Using A* and Genetic Algorithms},
 year = {2012}
}

@inproceedings{Barz2012,
 abstract = {Industrial plants are a vital and common asset of modern society in a various number of ways. Safety of large industrial complexes that handle hazardous chemical materials is of utter importance to prevent harm to employees, general population, our natural environment and valuable infrastructure. Therefore, beside the plant owner's own financial interest to guarantee faultless and safe operation, legal regulations have to be adhered due to strong public interest as well. An important measure to ensure safety is the implementation of regular inspection tours by maintenance personnel, who examine the often widely-stretched process infrastructure on foot and locally search for signs of beginning leakage. The Research Project RoboGasInspector was started to develop new means of aiding with the fulfillment of this essential task. This article gives an insight into this ongoing research project, where autonomous mobile robotics is combined with laser-based remote gas detection technology in order to create a proof-of-concept inspection system prototype, which can relieve humans of this monotonous and highly repetitive work.},
 address = {Bonn},
 author = {Barz, Thomas and Bonow, Gero and Hegenberg, Jens and Habib, Karim and Cramar, Liubov and Welle, Jochen and Schulz, Dirk and Kroll, Andreas and Schmidt, Ludger},
 booktitle = {Future Security},
 doi = {10.1007/978-3-642-33161-9_32},
 editor = {Aschenbruck, Nils and Martini, Peter and Meier,
Michael and Tölle, Jens},
 isbn = {978-3-642-33160-2},
 keywords = {unmanned system, industrial inspection, mobile robot, plant safety, gas detection, leak localization, remote sensor technology, human-machine
interface},
 language = {english},
 month = {4th -- 6th September},
 mrtnote = {robogas,peer},
 owner = {bonow},
 pages = {216--219},
 publisher = {Springer Berlin Heidelberg},
 series = {Communications in Computer and Information Science},
 timestamp = {2012.09.05},
 title = {Unmanned Inspection of Large Industrial Environments -- Insights into Research Project
RoboGasInspector},
 url = {https://dx.doi.org/10.1007/978-3-642-33161-9_32},
 volume = {318},
 year = {2012}
}

@article{at-CI_Entkopplung-ad_ak_hs_2012,
 abstract = {Der Beitrag beschreibt die Konzeptentwicklung und das Auffinden von Koordinationsregeln für komplexe verkoppelte Systeme. Am Beispiel dieser Aufgabenstellung wird die Bedeutung der Computational Intelligence für die Systemtheorie erläutert.},
 author = {Axel Dürrbaum and Andreas Kroll and Hanns Sommer},
 doi = {10.1524/auto.2012.1029},
 journal = {at -- Automatisierungstechnik},
 keywords = {Komplexe verkoppelte Systeme, Entkoppelung,
CI-Methoden},
 language = {german},
 mrtnote = {peer},
 mrturla = {https://mrt-pc1.mrt.maschinenbau.uni-kassel.de/MRT/Bibliothek/Publikationen/2012-Dürrbaum-at-CI_Entkopplung-PUB.pdf},
 mrturlb = {https://mrt-pc1.mrt.maschinenbau.uni-kassel.de/MRT/Bibliothek/Publikationen/2012-Dürrbaum-at-CI_Entkopplung-PUB.pdf},
 number = {10},
 owner = {duerrbaum},
 pages = {600--610},
 timestamp = {2012.05.07},
 title = {CI-Methoden zur Koordination und Entkoppelung
komplexer Systeme},
 volume = {60},
 year = {2012}
}

@inproceedings{Ren2Workshop2011,
 address = {Wien, Österreich},
 author = {Zhenxing Ren and Andreas Kroll and Manfried Sofsky
and Friedhelm Laubenstein},
 booktitle = {2. Workshop "Modellbasierte Kalibriermethoden"},
 language = {english},
 month = {23.09.2011},
 mrtnote = {nopeer,Drosselklappe,pke},
 organization = {TU Wien und AVL List GmbH},
 owner = {ren},
 timestamp = {2011.09.23},
 title = {Modellierung mechatronischer Systeme mit Reibung mittels PWA-Modellansatz und Anwendung auf Stellglieder am
Dieselfahrzeug},
 url = {https://mbc.tuwien.ac.at/workshops/2011/},
 year = {2011}
}

@inproceedings{Schrodt2011CI,
 abstract = {Für eine präzise Modellerstellung ist es unerlässlich, die Auswirkungen des Entwurfsverfahrens auf das entstehende Modell genau zu kennen, wobei das Ergebnis i. d. R. entscheidend durch vom Benutzer festzulegende Entwurfsparameter beeinflusst wird. Besonders interessant für eine (teil-)automatisierte Systemidentifikation ist die Klasse der clusterungsbasierten Identifikationsverfahren (unter anderem [1, 2]) mit Takagi-Sugeno- Fuzzy-Modellen (TS). Dies liegt unter anderem daran, dass TS-Modelle als universelle Approximatoren alle stetigen Systeme beliebig genau nachbilden können. Außerdem können lokale Teilmodelle, bei entsprechender Parameterwahl, als lokale Linearisierungen interpretiert werden [3, 4]. Die wichtigsten Entwurfsparameter für Fuzzy-Clusterungsverfahren sind der Unschärfeparameter m und die Clusteranzahl c. Weiterhin unterscheiden sich die Verfahren durch verschiedene Formmatrizen A der Abstandsnormen. In der Literatur findet die Wahl insbesondere des Unschärfeparameters m in Bezug auf Systemidentifikation recht wenig Beachtung. So wird meist ein Wert von m = 2 verwendet (unter anderem in [2, 3]), welcher nicht unbedingt ideal für die Systemidentifikation ist [5, 6]. In der jüngeren Literatur finden sich zwar Beispiele für die Untersuchung des Unschärfeparameters bei der Clusterung (unter anderem [6, 7, 8, 9, 10]). Allerdings beziehen sich die Untersuchungen nur zu geringem Teil auf Systemidentifikation, sondern eher auf reine Clusterung [7] oder Mustererkennungsaufgaben [10]. Im Beitrag wird die Effektivität und Effizienz verschiedener clusterungsbasierter TS-Identifikations- Verfahren sowie der Einfluss der Entwurfsparameter am Beispiel einer nichtlinearen Regressionsaufgabe untersucht. Dabei werden TS-Modelle eines stark nichtlinearen Motorkennfelds (Helixform, Bild 2) mit drei Eingangs- und einer Ausgangsgröße aus Messungen am Prüfstand (Bild 1) ermittelt und verglichen. Es wird gezeigt und begründet, dass eine Wahl von m = 2 ungünstig ist und Werte von 1 < m 1,5 zu guten Ergebnissen führen.},
 address = {Dortmund},
 author = {Schrodt, Alexander and Kroll, Andreas},
 booktitle = {21. Workshop Computational Intelligence},
 editor = {Ralf Mikut and Markus Reischl},
 language = {german},
 month = {1.-2. Dezember},
 mrtnote = {FuzzyIdControl,nopeer,pke},
 owner = {duerrbaum},
 pages = {47 -- 60},
 series = {Schriftenreihe des Instituts für Angewandte
Informatik / Automatisierungstechnik},
 timestamp = {2008.12.09},
 title = {Zur Fuzzy-Clusterungs-basierten Identifikation eines Verbrennungsmotorkennfelds: Methodenvergleich und Parametrierungsstrategie},
 year = {2011}
}

@inproceedings{INFRAR&D_2011,
 abstract = {In data fusion of imaging sources the knowledge about the intrinsic and extrinsic parameters of the camera is essential to avoid correspondence problems (i.e. matching up the corresponding points of two images acquired with some displacement disparity). A common way to determine these parameters is the use of a calibration board with known characteristics that is placed at different orientations in front of the camera. For normal cameras in the visible spectrum simple planar patterns in black and white color (like chessboards or dots in a grid arrangement) have been used as test fields with great success. For thermal cameras however these calibration targets don't work due to the even thermal distribution. This poster is motivated by an inspection task in an unknown environment where the fusion of data from a thermography camera, a normal camera and a laser range finder is desired. The correspondence problem is stated and a structured overview of different calibration boards that have been used for geometric calibration of thermography cameras in literature is presented. All these solutions seem to be unnecessarily complicated for a one-time calibration. Therefore own ideas and experimental results with a simple and cheap calibration board that provides sufficient accuracy are provided.},
 address = {Hannover, Germany},
 author = {Samuel Soldan and Johannes Rangel and Andreas Kroll},
 booktitle = {InfraR\&D 2011 Proceedings Volume 6},
 file = {Abstract:M\:\\Veroeffentlichungen\\Publikationen\\InfraR\&D2011\\Posterbeitrag
- Soldan - Uni Kassel.pdf:PDF},
 month = {6. -- 7. April.},
 mrtnote = {robogas, thermofusion, nopeer,pke},
 owner = {soldan},
 pages = {79-83},
 timestamp = {2011.01.28},
 title = {An Overview of Calibration Boards for the Geometric Calibration of Thermal
Cameras},
 url = {https://www.infrarottraining.de/infra/},
 year = {2011}
}

@inproceedings{Ren8IFAC2011,
 address = {Milano, Italy},
 author = {Ren, Zhenxing. and Gerland, Patrick and Kroll,
Andreas},
 booktitle = {18th World Congress of the International Federation
of Automatic Control (IFAC)},
 language = {english},
 month = {28. Aug. -- 2. Sep.},
 mrtnote = {peer, Drosselklappe},
 note = {DVD-ROM},
 organization = {IFAC},
 owner = {duerrbaum},
 pages = {4803-4808},
 timestamp = {2010.11.03},
 title = {A Novel Friction-Identification Method using Sliding-Mode Observer and Its Application to Electro-Mechanical
Throttles},
 year = {2011}
}

@inproceedings{RenMechatronik2011,
 address = {Dresden},
 author = {Ren, Zhenxing and Kroll, Andreas and Sofsky, M. and
Laubenstein, F.},
 booktitle = {VDI Mechatronik 2011},
 language = {german},
 month = {31.03-01.04.2011},
 mrtnote = {peer, Drosselklappe,pke},
 organization = {VDI},
 owner = {duerrbaum},
 pages = {55-60},
 timestamp = {2010.11.03},
 title = {Zur automatisierten Modellbildung für mechatronische Systeme mit Reibung am Beispiel von Dieselfahrzeugstellgliedern},
 year = {2011}
}

@inproceedings{KrollSSCI2011TSK,
 abstract = {Models are commonly derived and their performance is assessed wrt. minimal prediction error on a closed data set. However, if no perfect model can be used, the degrees of freedom in modeling should be used to adjust the model to application-specific metrics. For model-based controller design, control-oriented performance metrics (e.g. performance wrt. to control-critical properties) are important, but not primarily prediction (i.e. prognosis- and simulation-oriented) ones. This motivates the derivation of control-specific models. The contribution introduces structured and quantitative measures on "model suitability for control" for the class of affine dynamic Takagi-Sugeno models. A method is suggested that derives control-specific dynamic models from a physical model given as a set of nonlinear differential equations. Within a case study, the proposed method demonstrates its significance: Using control-specific models improves control performance metrics such as set-point tracking quality, stability region and energy efficiency.},
 address = {Paris, France},
 author = {Kroll, Andreas and Dürrbaum, Axel},
 booktitle = {CICA 2011 IEEE Symposium on Computational
Intelligence in Control and Automation},
 keywords = {Nonlinear dynamic modeling, Takagi-Sugeno systems,
modeling for control},
 language = {english},
 month = {April 11-15},
 mrtnote = {peer, FuzzyIdControl, talk:Dürrbaum},
 organization = {IEEE Symposium Series on Computational Intelligence},
 pages = {23 -- 30},
 title = {On Control-specific Derivation of Affine Takagi-Sugeno Models from Physical Models: Assessment Criteria and Modeling
Procedure},
 url = {https://www.ieee-ssci.org/},
 year = {2011}
}

@article{KrollAT2011,
 abstract = {Die Erstellung und Bewertung von Modellen orientiert sich i. d. R. am Prädiktionsfehler oder an der Approximationsgüte unabhängig vom Einsatzzweck eines Modells. Dies liegt an den üblichen Methoden sowie daran, dass Modellbildung und Reglerentwurf häuffig von unterschiedlichen Spezialisten durchgeführt werden. Da selten ein exaktes Modell erstellt werden kann, sollten die Freiheitsgrade bei der Modellbildung genutzt werden, um ein für die geplante Anwendung optimiertes Modell zu erhalten. Beim modellbasierten Reglerentwurf ist die Prädiktionsgüte eines Modells kein primäres Kriterium; vielmehr sollte das Modell gut für den Reglerentwurf geeignet sein. Diese Einsicht führte im Bereich der linearen Systemidentidentifikation zu neuen Methoden. In diesem Beitrag wird eine Methodik zur Ableitung regelungsorientierter Takagi-Sugeno-Fuzzy-Modelle aus physikalischen Modellen vorgestellt und am Benchmark-Beispiel des inversen Pendes demonstriert.},
 author = {Kroll, Andreas},
 doi = {10.1524/auto.2011.0964},
 journal = {Automatisierungstechnik},
 keywords = {Takagi-Sugeno-Fuzzy-Systeme, regelungsorientierte Modellbildung, nichtlineare Modellbildung, inverses Pendel},
 language = {german},
 month = {December},
 mrtnote = {peer, FuzzyIdControl},
 number = {12},
 pages = {705 -- 719},
 timestamp = {2007.12.14},
 title = {Zur regelungsorientierten Ableitung von
Takagi-Sugeno-Modellen},
 url = {https://www.oldenbourg-link.com/doi/abs/10.1524/auto.2011.0964},
 volume = {59},
 year = {2011}
}

@inproceedings{Bonow2011,
 address = {Baden-Baden},
 author = {Bonow, Gero und Kroll, Andreas},
 booktitle = {AUTOMATION 2011},
 file = {:M\:\\Bibliothek\\MRT\\Publikationen\\AUTOMATION 2011\\Bonow_Kroll_AUTOMATION_2011_Gasfernmesstechnik.pdf:PDF},
 keywords = {Gasfernmesstechnik, TDLAS, FTIR, DOAS, LIDAR},
 language = {deutsch},
 month = {28.-29. Juni},
 mrtnote = {robogas,nopeer,pke},
 owner = {bonow},
 timestamp = {2011.01.14},
 title = {Zur automatisierten Inspektion von Anlagen mittels Gasfernmesstechnik: Technologien und
Geräte},
 year = {2011}
}

@inproceedings{2011IFACKroll_Soldan,
 abstract = {In case of a structural mismatch between a Takagi-Sugeno model and a nonlinear system that is to be modelled, identification algorithms tend to compensate this by a finer granular partitioning. This is in conflict with the objective of parsimonious models. A novel TS model type with multi-dimensional fuzzy sets and locally adjustable/heterogeneous fuzziness is presented with a method for the adjustment. This new approach enhances the structural flexibility of the model while the number of parameters increases negligibly. Two case studies, including compressor modelling, illustrate the performance of the proposed method.},
 address = {Milano, Italy},
 author = {Andreas Kroll and Samuel Soldan},
 booktitle = {18th World Congress of the International Federation
of Automatic Control (IFAC)},
 file = {Initial Submission:M\:\\Veroeffentlichungen\\Publikationen\\IFAC2011\\266
-
InhomDicsontiIdentification\\initial_submission.pdf:PDF},
 language = {english},
 month = {28. Aug. - 2. Sep.},
 mrtnote = {peer, FuzzyIdControl},
 owner = {soldan},
 pages = {14994-14999},
 timestamp = {2010.11.08},
 title = {On Data-driven Takagi-Sugeno Modelling of Heterogeneous Systems with Multidimensional Membership
Functions},
 url = {https://www.ifac2011.org/},
 year = {2011}
}

@article{Kroll2011JAISCR,
 abstract = {Fuzzy clustering is a well-established method for identifying the structure/fuzzy partitioning of Takagi-Sugeno (TS) fuzzy models. The clustering algorithms require choosing the fuzziness parameter m. Prior work in the area of pattern recognition shows, that a suitable choice of m is application-dependent. Yet, the default of m=2 is commonly chosen. This paper examines the suitable choice of m for identifying TS models. The focus is on models that use the classifiers resulting from fuzzy clustering as multi-dimensional membership functions or their projection and approximation. At first, the differentiability and grouping properties of the fuzzy classifiers are analyzed to make a general recommendation of choosing m(1;3). Besides, the effect of the cluster number c on the classification fuzziness is examined. Finally, requirements that are specific to TS modeling are introduced, which narrow down the suitable range for m. Building on algorithm analysis and four case studies (function approximation, a vehicle engine and an axial compressor application for nonlinear regression), it is demonstrated that choosing m(1;1.3) for local and mâ(1;1.5) for global estimation will typically provide for good results.},
 author = {Andreas Kroll},
 comment = {ISSN 2083-2567},
 journal = {Journal of Artificial Intelligence and Soft
Computing Research},
 language = {english},
 mrtnote = {peer},
 number = {4},
 owner = {duerrbaum},
 pages = {283-300},
 timestamp = {2011.08.17},
 title = {On choosing the fuzziness parameter for identifying {TS} models with multidimensional membership functions},
 url = {https://jaiscr.eu/issues/jaiscr_vol1_no4_2011.pdf},
 volume = {1},
 year = {2011}
}

@inproceedings{IEEERen2010,
 address = {Atlanta, USA},
 author = {Zhenxing Ren and Andreas Kroll and Manfried Sofsky
and Friedhelm Laubenstein},
 booktitle = {49th IEEE Conference on Decision and Control},
 language = {english},
 month = {December 15-17},
 mrtnote = {peer,Drosselklappe},
 note = {DVD-ROM},
 organization = {IEEE},
 owner = {duerrbaum},
 pages = {7637-7642},
 timestamp = {2010.06.14},
 title = {On methods for automated modeling of dynamic systems with friction and their application to electro-mechanical
throttles},
 url = {https://www.ieeecss.org/CAB/conferences/cdc2010/},
 year = {2010}
}

@inproceedings{Baetz_NDE2010,
 abstract = {Detection of leaks in pressurized components such as above-ground pipes, vessels, instruments, fittings and machinery is of high relevance for plant operating authorities and utility companies in order to prevent harm to humans, nature and assets or just to prevent financial losses. Especially for gaseous fluids, remotely applicable infrared (IR) spectroscopical detection methods can be applied to scan the environment of the pressurised components for escaped gas. Spectroscopic methods fail if the spectral fingerprint of the fluid is unknown or not distinguishable in the chosen IR window of the atmosphere. Moreover, leaks in pressurised or liquid air leading components cannot be detected spectroscopically. In such cases, the application of passive IR thermography is proposed to permit remote leak detection by assessing the resulting temperature profile disturbance due to the cooling effect of expanding gas. This effect is not limited to pressurised air but can be used for any gaseous fluid. The thermal effect is tiny and the disturbances e.g. due to reflections of natural and artificial IR emitters and due to varying surface and material properties (heat conduction, emissivity, reflectivity,...) in the optical infrared spectral region make it difficult to interpret the interferogram by the human operator to identify a leak. In this contribution, methods for an automatic analysis of thermograms with respect to the presence of leaks by using pattern matching algorithms are presented. For this purpose, a dedicated test stand was build. The results of extensive leakage measurement campaigns with different materials (incl. ordinary and stainless steel), various pressurized components (incl. pipes, valves, flanges, manometers) and of different measurement set-ups (measurement angle, disturbing emitters, pressure difference, ...) will be presented. Pressurised air was used as test gas due to its simple handling. Different pattern matching algorithms that use the concept of a matching filter will be introduced and first results comparing their classification performance will be recorded. It will be shown, that under laboratory conditions, an extended range of leakages can be reliably detected.},
 address = {Berlin, Germany},
 author = {Werner Baetz AND Andreas Kroll AND Samuel Soldan},
 booktitle = {Proc. 8th Int. Conf. on NDE in Relation to Structural Integrity for Nuclear and Pressurised Components},
 comment = {ISBN 78-3-940283-30-6 (CD)},
 editor = {Michel Bieth},
 file = {Proceedings-CD:M\:\\Veroeffentlichungen\\Bibliothek\\Konferenzen\\NDE_2010\\Inhalt\\we4b5.pdf:URL;Folien:M\:\\Veroeffentlichungen\\Publikationen\\NDE2010\\final
version\\We.4.B.5.ppt:PowerPoint;Manuscript:M\:\\Veroeffentlichungen\\Publikationen\\NDE2010\\final
version\\NDE2010_final.doc:Word},
 isbn = {978-92-79-20321-3},
 language = {english},
 month = {29. September -- 1. Oktober},
 mrtnote = {robogas, thermofusion, nopeer, talk:Baetz},
 note = {DGZfP-Proceedings BB 125-CD},
 owner = {baetz},
 pages = {503--512},
 publisher = {European Commission, Joint Research Center,
Institute for Energy},
 timestamp = {2010.06.17},
 title = {On Gas Leak Detection of Pressurised Components by Using Thermograms and Pattern Recognition Algorithms},
 url = {https://www.8thnde.com/Programme/Session.aspx?id={8B4185CE-336B-4725-A598-31A1F23F9DA1}},
 year = {2010}
}

@misc{SeminarMRTSS2010,
 address = {Universität Kassel},
 author = {Kroll, Andreas},
 editor = {Sommer, Hans-Jakob and Kroll, Andreas},
 language = {german},
 month = {Oktober},
 mrtnote = {education},
 mrtnr = {071},
 organization = {Universität Kassel},
 owner = {duerrbaum},
 schhol = {FG Mess- und Regelungstechnik},
 timestamp = {2010.10.25},
 title = {Berichtsband zum Seminar Automatisierungstechnik SS
2010},
 year = {2010}
}

@misc{SeminarMRTWS20092010,
 address = {Universität Kassel},
 author = {Kroll, Andreas},
 editor = {Kroll, Andreas},
 language = {german},
 month = {Februar},
 mrtnote = {education},
 mrtnr = {039},
 organization = {Universität Kassel},
 owner = {duerrbaum},
 school = {FG Mess- und Regelungstechnik},
 timestamp = {2010.10.25},
 title = {Berichtsband zum Seminar Automatisierungstechnik WS
2009/10},
 year = {2010}
}

@inproceedings{Gerland2010CDC,
 abstract = {In this paper an observer-based fault detection approach for a class of nonlinear systems, which can be modeled by Takagi-Sugeno (TS) fuzzy models, is presented. We propose a sliding mode fuzzy observer that deals with bounded uncertainties in the plant and allows fault estimation based on an equivalent output error injection approach. Necessary conditions for the existence of the robust observer are derived from sliding mode theory . Stability is ensured by linear matrix inequality (LMI) based sufficient conditions. An illustrative example demonstrates the effectiveness of the proposed scheme.},
 address = {Atlanta, USA},
 author = {Gerland, Patrick and Gross, Dominic and Schulte,
Horst and Kroll, Andreas},
 booktitle = {49th IEEE Conference on Decision and Control},
 comment = {DVD-ROM},
 language = {english},
 month = {December 15 -- 17},
 mrtnote = {peer},
 note = {DVD-ROM},
 organization = {IEEE},
 owner = {duerrbaum},
 pages = {4373 -- 4378},
 timestamp = {2010.04.13},
 title = {Design of Sliding Mode Observers for TS Fuzzy Systems with Application to Disturbance and Actuator Fault
Estimation},
 url = {https://www.ieeecss.org/CAB/conferences/cdc2010/},
 year = {2010}
}

@inproceedings{Gerland2010SysTol,
 abstract = {In this paper, an observer-based fault detection approach for a class of nonlinear systems is presented, which can be modeled by Takagi-Sugeno (TS) fuzzy models. We propose a sliding mode fuzzy observer that deals with bounded uncertainties in the plant and allows fault estimation based on an equivalent output error injection approach [5]. Furthermore an adaption scheme based on pattern recognition algorithms is presented. It allows to deal with situational uncertainties, which affect the system, by adapting the fault sensitivity. An extensive simulation of a mobile working machine is used to demonstrate the effectiveness of the proposed scheme.},
 address = {Nice, France},
 author = {Gerland, Patrick and Gross, Dominic and Schulte,
Horst and Kroll, Andreas},
 booktitle = {Conference on Control and Fault-Tolerant Systems
(SysTol)},
 comment = {DVD-ROM},
 editor = {IEEE},
 language = {english},
 month = {October 6 -- 8},
 mrtnote = {peer},
 owner = {duerrbaum},
 pages = {813 -- 818},
 timestamp = {2010.06.14},
 title = {Robust Adaptive Fault Detection Using Global State Information and Application to Mobile Working Machines},
 year = {2010}
}

@inproceedings{ICARCV2010_Kroll_Soldan,
 abstract = {Mobile robots for carrying out service tasks in industrial plants and on infrastructure gain importance e.g. due to aging assets and demographics. In order to identify key areas requiring research and development activities, a questionnairebased online survey was conducted in 2009. Addressed were participants working in industry knowing best about needs, potentials, obstacles and pitfalls of applying mobile service robots in their companies/industrial sector. This paper presents the surveying methods and the obtained results which mainly cover chemical and automotive industries due to their world-wide economic significance as well as their research and innovation intensity.},
 address = {Singapore},
 author = {Andreas Kroll and Samuel Soldan},
 booktitle = {11th International Conference on Control, Automation
Robotics and Vision (ICARCV
2010)},
 file = {Präsentation:M\:\\Veroeffentlichungen\\Publikationen\\ICARCV2010\\P0272_ICARCV2010_Soldan_V2010-11-30-V2.pptx:PowerPoint;Aufsatz:M\:\\Veroeffentlichungen\\Publikationen\\ICARCV2010\\Final-Submission_P0272.pdf:PDF},
 language = {english},
 month = {7. - 10. Dec.},
 mrtnote = {robogas, peer},
 owner = {soldan},
 pages = {621-626},
 timestamp = {2010.06.30},
 title = {Survey Results on Status, Needs and Perspectives for using Mobile Service Robots in Industrial Applications},
 url = {https://www.icarcv.org/2010/},
 year = {2010}
}

@misc{DPatent2010,
 abstract = {Gegenstand der Erfindung ist eine Vorrichtung zur autonomen Ermittlung von Leckagen unter Stofffreisetzung ins Umfeld aus druckführenden Systemen, insbesondere Rohrleitungssysteme, die Vorrichtung umfassend eine motorbetriebene Bewegungsplattform, z.B. ein Fahrgestell, mit einer Sensorik zur Lokalisierung und Navigation des Fahrgestells im Bereich des druckführenden Systems, die Vorrichtung ferner umfassend mindestens eine optische Fernmesseinrichtung zur Detektion und Lokalisation eines Lecks, wobei die ernmesseinrichtung in allen drei Raumachsen beweglich ist, und wobei die optische Fernmesseinrichtung mit dem Fahrgestell in Kommunikation steht, wobei die Auswertung der Daten aus der Fernmesseinrichtung und die Kommunikation zwischen Fernmesseinrichtung und Bewegungsplattform automatisiert erfolgt.},
 address = {Universität Kassel},
 assignee = {Universität Kassel},
 author = {Andreas Kroll and Baetz, Werner and Peretzki, Daniel
and Bonow, Gero},
 date = {12.09.2008},
 day = {17.06.2010},
 file = {Patenturkunde:M\:\\Nutzer\\Mitarbeiter\\baetz\\Privat\\Literatur\\Patente\\Deutsche_Patenturkunde.pdf:PDF},
 language = {german},
 mrtnote = {robogas,patent},
 nationality = {Deutsch},
 note = {WO 2010 028619 A1},
 number = {DE 10 2008 047 151 B3},
 owner = {baetz},
 timestamp = {2009.08.27},
 title = {Als Roboter ausgebildete Vorrichtung zur autonomen, mannlosen Ermittlung von Leckagen unter Stofffreisetzung ins Umfeld aus druckführenden Systemen, insbesondere Rohrleitungssystemen, sowie Verfahren zum Betrieb eines solchen
Roboters},
 type = {Patent},
 url = {https://depatisnet.dpma.de/DepatisNet/depatisnet?window=1&space=menu&content=treffer&action=bibdat&docid=DE102008047151B3},
 year = {2010},
 yearfiled = {2008}
}

@inproceedings{Kroll2010GMAb,
 address = {Dortmund},
 author = {Andreas Kroll and Axel Dürrbaum},
 booktitle = {20. Workshop Computational Intelligence},
 editor = {Frank Hoffmann and Eike Hüllermeier},
 language = {german},
 month = {1.-3. Dezember},
 mrtnote = {FuzzyIdControl,nopeer},
 owner = {liebermann},
 pages = {161 -- 174},
 series = {Schriftenreihe des Instituts für Angewandte
Informatik / Automatisierungstechnik},
 timestamp = {2007.12.14},
 title = {Zur regelungsspezifischen Ableitung dynamischer Tagaki-Sugeno-Modelle aus rigorosen
Modellen},
 year = {2010}
}

@inproceedings{Kroll2010a,
 address = {Dortmund},
 author = {Andreas Kroll},
 booktitle = {20. Workshop Computational Intelligence},
 editor = {Frank Hoffmann and Eike Hüllermeier},
 language = {german},
 month = {1.-3. Dezember},
 mrtnote = {FuzzyIdControl,nopeer},
 organization = {GMA-FA 5.14 "Computational Intelligence" und GI-FG "Fuzzy-Systeme und
Soft-Computing"},
 owner = {duerrbaum},
 pages = {64 -- 79},
 series = {Schriftenreihe des Instituts für Angewandte
Informatik / Automatisierungstechnik},
 timestamp = {2010.07.06},
 title = {Zur Modellierung unstetiger sowie heterogener nichtlinearer Systeme mittels Takagi-Sugeno-Fuzzy-Systemen},
 year = {2010}
}

@inproceedings{GMAGeiger2010,
 address = {Dortmund},
 author = {Andreas Geiger and Hanns Sommer and Andreas Kroll},
 booktitle = {20. Workshop Computational Intelligence},
 editor = {Frank Hoffmann and Eike Hüllermeier},
 language = {german},
 month = {1.-3. Dezember},
 mrtnote = {Netze,nopeer},
 organization = {GMA-FA 5.14 "Computational Intelligence" und GI-FG "Fuzzy-Systeme und
Soft-Computing"},
 owner = {duerrbaum},
 pages = {235-249},
 series = {Schriftenreihe des Instituts für Angewandte
Informatik / Automatisierungstechnik},
 timestamp = {2010.07.06},
 title = {Koevolutionärer Algorithmus zur Analyse struktureller Steuerbarkeit -- Eine Methode der "komplexen Netzwerke" zur
Systemanalyse},
 year = {2010}
}

@article{KrollATCompIntelligence2009,
 author = {Kroll, Andreas and Mikut, Ralf},
 journal = {Automatisierungstechnik},
 language = {english},
 month = {March},
 mrtnote = {nopeer},
 number = {3},
 owner = {duerrbaum},
 pages = {105},
 timestamp = {2008.07.30},
 title = {Computational Intelligence (Editorial Part 2)},
 volume = {57},
 year = {2009}
}

@misc{SeminarMRTSS2009,
 author = {Kroll, Andreas},
 editor = {Kroll, Andreas},
 language = {german},
 month = {November},
 mrtnote = {education},
 mrtnr = {034},
 organization = {Universität Kassel},
 owner = {duerrbaum},
 timestamp = {2010.10.25},
 title = {Berichtsband zum Seminar Automatisierungstechnik SS
2009},
 year = {2009}
}

@inproceedings{Gerland2009ECC,
 abstract = {Frequently, the increasing level of automation requires a systematic consideration of numerous interacting components influenced by internal feedback mechanisms as well as interactions with human operators under varying environmental conditions. This places demands on modeling, which in general cannot be satisfied by traditional modeling concepts. In this paper, a model approach for complex technical systems is developed, which consists of two language layers. The first layer takes the physical knowledge of the technical system into account. The second one uses stochastic models in combination with superordinate higher-level terms to formulate properties concerning the overall system. By means of a case study dealing with the automation of mobile working machines, it is shown that this approach can be used to recognize driving situations under varying environmental conditions.},
 address = {Budapest, Hungary},
 author = {Gerland, Patrick and Schulte, Horst and Kroll,
Andreas},
 booktitle = {European Control Conference (ECC)},
 comment = {DVD-ROM},
 isbn = {978-963-311-369-1},
 keywords = {Complex systems; Machine learning; Automotive},
 language = {english},
 month = {August 23 -- 26},
 mrtnote = {peer},
 owner = {duerrbaum},
 pages = {1269 -- 1274},
 publisher = {IEEE},
 timestamp = {2008.12.09},
 title = {Probability-based global state detection of complex technical systems and application to mobile working machines},
 year = {2009}
}

@inproceedings{Gerland2009CI,
 address = {Dortmund},
 author = {Gerland, Patrick and Schulte, Horst and Kroll,
Andreas},
 booktitle = {19. Workshop Computational Intelligence},
 editor = {Ralf Mikut and Markus Reischl},
 language = {german},
 month = {2.-4. Dezember},
 mrtnote = {nopeer},
 owner = {duerrbaum},
 pages = {61 -- 74},
 series = {Schriftenreihe des Instituts für Angewandte
Informatik / Automatisierungstechnik},
 timestamp = {2008.12.09},
 title = {Vergleichende Untersuchung nichtlinearer Beobachterkonzepte zur Fehlerdiagnose am Beispiel hydrostatischer
Fahrantriebe},
 volume = {29},
 year = {2009}
}

@inproceedings{Bonow2009AUTO,
 address = {Baden-Baden, Germany},
 author = {Bonow, Gero and Kroll, Andreas},
 booktitle = {AUTOMATION 2009},
 keywords = {Gasfernmesstechnik, TDLAS, mobile Roboter},
 language = {german},
 month = {16-17. Juni},
 mrtnote = {robogas,nopeer},
 owner = {bonow},
 timestamp = {2008.12.15},
 title = {Gasleckortung mittels Laser-Fernmesstechnik und
autonomer mobiler Robotersysteme},
 year = {2009}
}

@inproceedings{Baetz2009ICRA,
 address = {Kobe, Japan},
 author = {Baetz, Werner and Kroll, Andreas and Bonow, Gero},
 booktitle = {IEEE International Conference on Robotics and
Automation (ICRA 2009)},
 editor = {Kazuhiro Kosuge, Katsushi Ikeuchi},
 file = {Proceediongs-DVD:https\://mrt-pc1.mrt.maschinenbau.uni-kassel.de/MRT/Veroeffentlichungen/Bibliothek/Konferenzen/ICRA2009
Proceedings (D)/data/papers/0417.pdf:URL},
 isbn = {978-1-4244-2789-5},
 issn = {1050-4729},
 language = {english},
 month = {May 12-17},
 mrtnote = {robogas, peer},
 note = {IEEE Catalog Number: CFP09RAA-DVD},
 owner = {baetz},
 pages = {2773--2778},
 publisher = {IEEE},
 timestamp = {2008.12.09},
 title = {Mobile Robots with Active IR-Optical Sensing for Remote Gas Detection and Source
Localization},
 url = {https://ieeexplore.ieee.org/abstract/document/5152338},
 year = {2009}
}

@inproceedings{Schreiber2008CI,
 address = {Dortmund},
 author = {Schreiber, Lothar and Sommer, Hanns and Kroll,
Andreas},
 booktitle = {18. Workshop Computational Intelligence},
 editor = {Ralf Mikut and Markus Reischl},
 month = {Dezember},
 mrtnote = {nopeer},
 owner = {duerrbaum},
 pages = {124-135},
 series = {Schriftenreihe des Instituts für Angewandte
Informatik / Automatisierungstechnik},
 timestamp = {2008.12.09},
 title = {Lösung komplexer Systeme mittels heuristischer
Verfahren},
 volume = {24},
 year = {2008}
}

@article{KrollATCompIntelligence2008,
 author = {Kroll, Andreas and Mikut, Ralf},
 journal = {Automatisierungstechnik},
 language = {english},
 month = {July},
 mrtnote = {nopeer},
 number = {7},
 owner = {duerrbaum},
 pages = {335-338},
 timestamp = {2008.07.30},
 title = {Computational Intelligence (Editorial)},
 volume = {56},
 year = {2008}
}

@inproceedings{KrollIIAS2008,
 address = {Baden-Baden, Germany},
 author = {Kroll, Andreas},
 booktitle = {Int. Conf. on Intelligent Autonomous Systems
(IAS10)},
 language = {english},
 month = {23. - 25. July},
 mrtnote = {robogas, peer},
 owner = {duerrbaum},
 pages = {406-414},
 timestamp = {2008.07.30},
 title = {A survey on mobile robots for industrial
inspections},
 year = {2008}
}

@misc{SeminarMRTSS2008,
 address = {Universität Kassel},
 author = {Kroll, Andreas},
 editor = {Kroll, Andreas},
 language = {german},
 mrtnote = {education},
 mrtnr = {010},
 organization = {Universität Kassel},
 owner = {duerrbaum},
 school = {FG Mess- und Regelungstechnik},
 timestamp = {2008.12.15},
 title = {Berichtsband zum Seminar Automatisierungstechnik SS
2008},
 type = {Seminararbeit},
 year = {2008}
}

@article{Kroll2008at2,
 author = {Kroll, A. AND Harjunkoski, I.},
 doi = {10.1524/auto.2008.9052},
 journal = {Automatisierungstechnik},
 language = {german},
 month = {April},
 mrtnote = {nopeer},
 number = {4},
 owner = {duerrbaum},
 pages = {169-170},
 timestamp = {2008.04.16},
 title = {Produktionsoptimierung - Fortsetzung (Editorial)},
 volume = {56},
 year = {2008}
}

@article{Kroll2008at1,
 author = {Kroll, A. AND Harjunkoski, I.},
 doi = {10.1524/auto.2008.9050},
 journal = {Automatisierungstechnik},
 language = {german},
 month = {Februar},
 mrtnote = {nopeer},
 number = {2},
 owner = {duerrbaum},
 pages = {61-63},
 timestamp = {2008.04.16},
 title = {Produktionsoptimierung (Editorial)},
 volume = {56},
 year = {2008}
}

@inproceedings{Gerland2008CI,
 address = {Dortmund},
 author = {Gerland, Patrick and Schulte, Horst and Kroll,
Andreas},
 booktitle = {18. Workshop Computational Intelligence},
 editor = {Ralf Mikut and Markus Reischl},
 language = {german},
 month = {3.-5. Dezember},
 mrtnote = {nopeer},
 owner = {duerrbaum},
 pages = {174 -- 188},
 series = {Schriftenreihe des Instituts für Angewandte
Informatik / Automatisierungstechnik},
 timestamp = {2008.12.09},
 title = {Wahrscheinlichkeitsbasierte globale
Situationserkennung bei komplexen Systemen},
 volume = {24},
 year = {2008}
}

@proceedings{SAM2008,
 address = {Universität Kassel},
 author = {Andreas Kroll},
 booktitle = {Seminar für Mess- und Automatisierungstechnik},
 editor = {Kroll, Andreas},
 institution = {FG Mess- und Regelungstechnik},
 language = {german},
 mrtnote = {education},
 mrtnr = {021a},
 organization = {FG Mess- und Regelungstechnik},
 owner = {duerrbaum},
 series = {Seminar für Mess- und Automatisierungstechnik},
 timestamp = {2009.12.07},
 title = {Zu Methoden der marktbasierten Kooperation bei
Multi-Robotersystemen},
 type = {Berichtsband},
 year = {2008}
}

@article{KrollEngineerIT2007,
 author = {Kroll, A. AND Simon, G. AND Cheever, T. AND
Pilbacka, T. AND Stanier, D.},
 journal = {EngineerIT},
 language = {english},
 month = {October},
 mrtnote = {nopeer},
 owner = {duerrbaum},
 pages = {28-32},
 timestamp = {2008.04.16},
 title = {Room for Improvement},
 url = {https://www.eepublishers.co.za/view.php?sid=10863},
 volume = {32},
 year = {2007}
}

@article{KrollABBReviewT2007,
 author = {Kroll, A. AND Simon, G. AND Cheever, T. AND
Pilbacka, T. AND Stanier, D.},
 booktitle = {ABB Review},
 journal = {ABB Review 1/2007},
 language = {english},
 month = {October},
 mrtnote = {nopeer},
 owner = {duerrbaum},
 pages = {56-61},
 publisher = {ABB},
 timestamp = {2008.04.16},
 title = {Room for Improvement - Identifying limiting factors
in process industries},
 volume = {1},
 year = {2007}
}

@article{abel2007,
 author = {Abel, D. AND M. Buss AND A. Kroll AND M. Reischl},
 journal = {Automatisierungstechnik},
 language = {english},
 month = {May},
 mrtnote = {nopeer},
 number = {5},
 owner = {liebermann},
 pages = {266--268},
 timestamp = {2007.12.14},
 title = {Considerations on teaching},
 volume = {55},
 year = {2007}
}

@article{kroll2006,
 author = {Kroll, Andreas AND Abel, D.},
 journal = {Automatisierungstechnik},
 language = {german},
 month = {Dezember},
 mrtnote = {nopeer},
 number = {12},
 owner = {liebermann},
 pages = {587-589},
 timestamp = {2007.12.14},
 title = {Model Predictive Control (Editorial)},
 volume = {54},
 year = {2006}
}

@article{kroll2006d,
 author = {Kroll, Andreas},
 journal = {Automatisierungstechnische Praxis},
 language = {english},
 month = {September},
 mrtnote = {peer},
 number = {9},
 owner = {liebermann},
 pages = {45-49},
 timestamp = {2007.12.14},
 title = {On the use of computer-based training for operators in Germany and the USA - survey
results},
 volume = {48},
 year = {2006}
}

@article{kroll2006c,
 author = {Kroll, Andreas},
 journal = {Automatisierungstechnische Praxis},
 language = {english},
 month = {August},
 mrtnote = {peer},
 number = {8},
 owner = {liebermann},
 pages = {42-49},
 timestamp = {2007.12.14},
 title = {Assessment and opportunity screening regarding automation systems and working practices in the process
industry},
 volume = {48},
 year = {2006}
}

@article{kroll2006b,
 author = {Kroll, Andreas},
 journal = {Automatisierungstechnische Praxis},
 language = {english},
 month = {May},
 mrtnote = {peer},
 number = {5},
 owner = {liebermann},
 pages = {71-78},
 timestamp = {2007.12.14},
 title = {Computer-based training "control performance monitoring" for personnel of process
plants},
 volume = {48},
 year = {2006}
}

@unpublished{kroll2006a,
 author = {Kroll, Andreas},
 editor = {Kroll, Andreas},
 language = {english},
 month = {February 1st},
 mrtnote = {talk:Kroll},
 note = {University of Aachen (invited talk)},
 owner = {liebermann},
 timestamp = {2007.12.14},
 title = {On computer-based education of operators in the
chemical industry},
 year = {2006}
}

@article{prata2007,
 author = {Prata, A. AND J. Oldenburg AND A. Kroll AND W. Marquardt},
 journal = {Computers \& Chemical Engineering},
 language = {english},
 mrtnote = {peer},
 owner = {liebermann},
 pages = {463-476},
 timestamp = {2007.12.14},
 title = {Integrated scheduling and dynamic optimization of grade transitions
for a continuous polymerization reactor.},
 url = {http://www.sciencedirect.com/science/article/pii/S0098135407000658},
 volume = {32},
 year = {2008}
}

@conference{Kroll2006,
 author = {Kroll, A},
 booktitle = {IFAC Conference on Advances in Control Education ACE 2006},
 owner = {liebermann},
 timestamp = {2007.12.14},
 title = {Computer-based training for operators in PID control - requirements,
design, and evaluation},
 year = {2006}
}

@article{Kroll2006a,
 author = {Kroll, A},
 journal = {Automatisierungstechnische Praxis},
 number = {9},
 owner = {liebermann},
 pages = {45-49},
 timestamp = {2007.12.14},
 title = {On the use of computer-based training for operators in Germany and
the USA - survey results},
 volume = {48},
 year = {2006}
}

@article{Kroll2006b,
 author = {Kroll, A},
 journal = {Automatisierungstechnische Praxis},
 number = {8},
 owner = {liebermann},
 pages = {42-49},
 timestamp = {2007.12.14},
 title = {Assessment and opportunity screening regarding automation systems
and working practices in the process industry},
 volume = {48},
 year = {2006}
}

@article{Kroll2006c,
 author = {Kroll, A},
 journal = {Automatisierungstechnische Praxis},
 number = {5},
 owner = {liebermann},
 pages = {71-78},
 timestamp = {2007.12.14},
 title = {Computer-based training "control performance monitoring" for personnel
of process plants},
 volume = {48},
 year = {2006}
}

@conference{Kroll2006d,
 address = {RWTH Aachen},
 author = {Kroll, A},
 booktitle = {Verfahrenstechnisches Kolloquium},
 language = {german},
 month = {1. Februar},
 owner = {liebermann},
 timestamp = {2007.12.14},
 title = {Zur computerbasierten Schulung von Anlagenfahrern in der Chemischen
Industrie},
 year = {2006}
}

@conference{kroll2006e,
 address = {Madrid, Spain},
 author = {Kroll, Andreas},
 booktitle = {IFAC Conference on Advances in Control Education ACE 2006},
 language = {english},
 mrtnote = {peer},
 owner = {liebermann},
 timestamp = {2007.12.14},
 title = {Computer-based training for operators in PID control - Requirements,
design, and evaluation},
 year = {2006}
}

@conference{Nystroem2006,
 author = {Nyström, R. AND I. Harjunkoski AND A. Kroll},
 booktitle = {Computers \& Chemical Engineering},
 owner = {liebermann},
 pages = {392-406},
 timestamp = {2007.12.14},
 title = {Production optimization for continuously operated processes with
optimal operation and scheduling of multiple units},
 volume = {30},
 year = {2006}
}

@conference{Kroll2005a,
 author = {Kroll, A},
 booktitle = {GMA-Kongress61},
 note = {VDI-Bericht 1883. Düsseldorf: VDI.},
 owner = {liebermann},
 pages = {87-89},
 timestamp = {2007.12.14},
 title = {A tool for computer-based self-paced training 'controller tuning'
for employees in the chemical industries},
 year = {2005}
}

@article{Kroll2005,
 author = {Kroll, A. AND M. Nußko},
 journal = {Automatisierungstechnik},
 number = {3},
 owner = {liebermann},
 pages = {125-139},
 timestamp = {2007.12.14},
 title = {On computer-based training of operators in the chemical industries},
 volume = {53},
 year = {2005}
}

@conference{Nystroem2005,
 author = {Nyström, R. AND R. Franke AND I. Harjunkoski AND A. Kroll},
 booktitle = {Computers \& Chemical Engineering},
 owner = {liebermann},
 pages = {2163-2179},
 timestamp = {2007.12.14},
 title = {Production campaign planning including grade transition sequencing
and dynamic optimization},
 volume = {29},
 year = {2005}
}

@article{Kroll2004,
 author = {Kroll, A},
 journal = {Automatisierungstechnik},
 number = {10},
 owner = {liebermann},
 pages = {470-480},
 timestamp = {2007.12.14},
 title = {On the representaton of affine Takagi-Sugeno-Kang fuzzy systems},
 volume = {52},
 year = {2004}
}

@article{Kroll2004a,
 author = {Kroll, A},
 journal = {Automatisierungstechnik},
 number = {5},
 owner = {liebermann},
 pages = {228-239},
 timestamp = {2007.12.14},
 title = {Priotizing asset management for chemical plants: Learning from event
statistics},
 volume = {52},
 year = {2004}
}

@inproceedings{Kroll2004c,
 author = {Kroll, A},
 owner = {liebermann},
 timestamp = {2007.12.14},
 title = {Selected aspects of process control (invited talk)},
 year = {2004}
}

@inproceedings{Kroll2004d,
 author = {Kroll, A},
 owner = {liebermann},
 timestamp = {2007.12.14},
 title = {Selected aspects of controlling mechatronic systems (invited talk)},
 year = {2004}
}

@inproceedings{Kroll2004e,
 address = {Ladenburg},
 author = {Kroll, A},
 booktitle = {Press day 16.10.2003},
 organization = {ABB Corporate Research Center Germany},
 owner = {liebermann},
 timestamp = {2007.12.14},
 title = {Advanced solutions - optimizing plant and process management},
 year = {2004}
}

@inproceedings{Kroll2004f,
 address = {Ladenburg},
 author = {Kroll, A},
 booktitle = {Press day 16.10.2003},
 language = {english},
 note = {Press day, 16.10.2003},
 organization = {ABB Corporate Research Center Germany},
 owner = {liebermann},
 timestamp = {2007.12.14},
 title = {Industrial-IT for cold rolling mills},
 year = {2004}
}

@article{Kroll2004b,
 author = {Kroll, A. AND A. Vollmer},
 journal = {ABB Review},
 owner = {liebermann},
 pages = {44-49},
 timestamp = {2007.12.14},
 title = {Industrial-IT for cold rolling mills: the next generation of automation
system and solutions},
 volume = {4},
 year = {2004}
}

@conference{Hoernfeldt2003,
 author = {Hoernfeldt, T. AND A. Vollmer AND A. Kroll},
 booktitle = {IFAC Workshop on New Technologies for Automation of Metallurgical
Industry},
 owner = {liebermann},
 pages = {8-13},
 timestamp = {2007.12.14},
 title = {Industrial-IT for cold rolling mills: The next generation of automation
systems and solutions},
 year = {2003}
}

@article{Kroll2003,
 author = {Kroll, A},
 journal = {International},
 number = {1},
 owner = {liebermann},
 pages = {24-36},
 timestamp = {2007.12.14},
 title = {Status and perspectives of operator training simulation for the process
industries},
 volume = {1},
 year = {2003}
}

@article{Kroll2003a,
 author = {Kroll, A},
 journal = {Automatisierungstechnische Praxis},
 number = {2},
 owner = {liebermann},
 pages = {50-57},
 timestamp = {2007.12.14},
 title = {Training simulation for the process industries: Status, trends, and
perspectives - Part 1},
 volume = {45},
 year = {2003}
}

@article{Kroll2003b,
 author = {Kroll, A},
 journal = {Automatisierungstechnische Praxis},
 number = {3},
 owner = {liebermann},
 pages = {55-60},
 timestamp = {2007.12.14},
 title = {Training simulation for the process industries: Status, trends, and
perspectives - Part 2},
 volume = {45},
 year = {2003}
}

@inproceedings{Kroll2003c,
 author = {Kroll, A},
 booktitle = {Kolloquium Faculty of Mechanical Engineering (invited talk)},
 owner = {liebermann},
 timestamp = {2007.12.14},
 title = {On model-based automation of complex technical plants},
 year = {2003}
}

@article{Nystroem2003,
 author = {Nyström, R. AND A. Kroll AND A. Frick AND C. Stich AND K. Hütten
AND F. Langhauser AND W. Seebass AND M. Kersting},
 journal = {Automatisierungstechnik},
 owner = {liebermann},
 pages = {525-530},
 timestamp = {2007.12.14},
 title = {Web-based training for polymer plant operators using process simulation},
 volume = {51},
 year = {2003}
}

@conference{Nystroem2003a,
 author = {Nyström, R. AND A. Kroll AND A. Frick AND C. Stich AND K. Hütten
AND F. Langhauser AND W. Seebass AND M. Kersting},
 booktitle = {GMA-Kongress 2003},
 note = {VDI-Bericht 1756. Düsseldorf: VDI},
 owner = {liebermann},
 pages = {347-355},
 timestamp = {2007.12.14},
 title = {Educational services for polypropylene plants per ASP simulation
over Internet},
 year = {2003}
}

@article{Nystroem2003b,
 author = {Nyström, R. AND A. Kroll AND A. Frick AND C. Stich AND K. Hütten
AND F. Langhauser AND W. Seebass AND M. Kersting},
 journal = {ABB Review},
 number = {4},
 owner = {liebermann},
 pages = {50-51},
 timestamp = {2007.12.14},
 title = {A new web-based simulation tool for polymer plant operators},
 year = {2003}
}

@conference{Pfeiffer2003,
 author = {Pfeiffer, B.-M. AND J. Jäkel AND A. Kroll AND C. Kuhn AND H,-B. Kuntze
AND B. Lehmann AND T. Slawinski AND V. Tews AND M. Reischl.},
 booktitle = {GMA-Kongress 2003},
 language = {english},
 note = {VDI-Bericht 1756. Düsseldorf: VDI},
 owner = {liebermann},
 pages = {987-994},
 timestamp = {2007.12.14},
 title = {An internet hosted overview over successful applications of fuzzy
logic and fuzzy control},
 year = {2003}
}

@book{Jelali2002,
 author = {Jelali, M. AND A. Kroll},
 note = {London: Springer-Verlag.},
 owner = {liebermann},
 publisher = {London: Springer-Verlag},
 timestamp = {2007.12.14},
 title = {Hydraulic Servo-Systems: Models, Identification and Control},
 year = {2002}
}

@inproceedings{Kroll2002a,
 author = {Kroll, A},
 booktitle = {Kolloquium Faculty of Mechanical Engineering (invited talk)},
 owner = {liebermann},
 timestamp = {2007.12.14},
 title = {Fuzzy-Systems: Selected methods and applicaiton in mechatronics},
 year = {2002}
}

@article{Kroll2002,
 author = {Kroll, A. AND T. Hess AND P.-E. Modén AND K. Havre},
 journal = {Automatisierungstechnische Praxis},
 number = {5},
 owner = {liebermann},
 pages = {47-52},
 timestamp = {2007.12.14},
 title = {Model-centric dynamic solutions: a concept},
 volume = {45},
 year = {2002}
}

@article{Pfeiffer2002,
 author = {Pfeiffer, B.-M. AND J. Jäckel AND A. Kroll AND C. Kuhn AND H.-B.
Kunze AND U. Lehmann AND T. Slawinski AND V. Tews},
 journal = {Automatisierungstechnik},
 language = {german},
 number = {10},
 owner = {liebermann},
 pages = {461-471},
 timestamp = {2007.12.14},
 title = {Successful applications of fuzzy logic and fuzzy control (part 1)},
 volume = {50},
 year = {2002}
}

@article{Pfeiffer2002a,
 author = {Pfeiffer, B.-M. AND J. Jäckel AND A. Kroll AND C. Kuhn AND H.-B.
Kunze AND U. Lehmann AND T. Slawinski AND V. Tews},
 journal = {Automatisierungstechnik},
 language = {german},
 number = {11},
 owner = {liebermann},
 pages = {511-521},
 timestamp = {2007.12.14},
 title = {Successful applications of fuzzy logic and fuzzy control (part 2)},
 volume = {50},
 year = {2002}
}

@conference{Kroll2001a,
 author = {Kroll, A},
 booktitle = {PMI Europe 2001 Conference},
 owner = {liebermann},
 timestamp = {2007.12.14},
 title = {Managing virtual teams - Some best practices, experiences and pitfalls},
 year = {2001}
}

@conference{Kroll2001,
 author = {Kroll, A. AND T. Hess AND P.-E. Modén AND K. Havre},
 booktitle = {3. VDI/VDE-GMA Symposium on "Computer aided control system design"},
 owner = {liebermann},
 pages = {129-137},
 timestamp = {2007.12.14},
 title = {Model-centric dynamic solutions: a concept},
 year = {2001}
}

@article{Kroll2001b,
 author = {Kroll, A. AND T. Hess AND P.-E. Modén AND K. Havre},
 journal = {ABB Review},
 owner = {liebermann},
 pages = {46-54},
 timestamp = {2007.12.14},
 title = {ABB Dynamic Solutions -- The best available technology for advanced
optimization applications},
 volume = {4},
 year = {2001}
}

@conference{Pfeiffer2001,
 author = {Pfeiffer, B.-M. AND J. Jäkel AND A. Kroll AND C. Kuhn AND H,-B. Kuntze
AND B. Lehmann AND T. Slawinski AND V. Tews},
 booktitle = {GMA-Fachausschuß 5.22 Fuzzy Control},
 language = {german},
 owner = {liebermann},
 pages = {1-27},
 timestamp = {2007.12.14},
 title = {Tutorial: Successful applications of fuzzy control},
 year = {2001}
}

@article{Boehlmann2000,
 author = {Böhlmann, S. AND B. Cuno AND J. Jäkel AND A. Kroll AND R. Mikut AND
B.-M. Pfeiffer AND T. Rauschenbach AND T. Slawinski},
 journal = {VDI/VDE 3550},
 owner = {liebermann},
 pages = {2},
 timestamp = {2007.12.14},
 title = {Fuzzy Logic and Fuzzy Control - Technical Terms and Definitions},
 volume = {Green Print / Draft},
 year = {2000}
}

@book{Kroll2000,
 address = {Amsterdam},
 author = {Kroll, A},
 editor = {M. Mohammadian},
 note = {Amsterdam: IOS Press},
 owner = {liebermann},
 pages = {42-51},
 publisher = {IOS Press},
 timestamp = {2007.12.14},
 title = {Grey-box models: Concepts and application. In: New Frontiers in Computational
Intelligence and its Applications},
 year = {2000}
}

@inproceedings{Kroll2000c,
 author = {Kroll, A},
 booktitle = {Kolloquium Faculty of Electrical Engineering (invited talk)},
 owner = {liebermann},
 timestamp = {2007.12.14},
 title = {Aspects of the integration of computational intelligence and classical
control},
 year = {2000}
}

@inproceedings{Kroll2000d,
 author = {Kroll, A},
 booktitle = {Kolloquium Faculty of Mechnical Engineering (invited talk)},
 owner = {liebermann},
 timestamp = {2007.12.14},
 title = {Aspects of model-based control with fuzzy networks and their application
on fluid drive systems},
 year = {2000}
}

@conference{Kroll2000b,
 author = {Kroll, A. AND T. Bernd},
 booktitle = {GMA+GI Conference on "Computational Intelligence in industrial applications"},
 note = {VDI-Bericht 1526. Düsseldorf: VDI},
 owner = {liebermann},
 pages = {319-334},
 timestamp = {2007.12.14},
 title = {Nonlinear model predictive control of a hydraulic drive using fuzzy
prediction models},
 year = {2000}
}

@conference{Kroll2000a,
 author = {Kroll, A. AND T. Bernd AND S. Trott},
 booktitle = {IEEE Transactions on Fuzzy Systems},
 owner = {liebermann},
 pages = {632-644},
 timestamp = {2007.12.14},
 title = {Fuzzy network model-based fuzzy state controller design},
 volume = {8},
 year = {2000}
}

@inproceedings{Kroll2000e,
 author = {Kroll, A. AND M. Nübling},
 booktitle = {PSE user group meeting},
 language = {english},
 note = {Process Systems Enterprise Ltd.},
 owner = {liebermann},
 timestamp = {2007.12.14},
 title = {The ABB graphical model builder for PROMISE - technical features},
 year = {2000}
}

@conference{Bernd1999,
 author = {Bernd, T. AND M. Kleutges AND A. Kroll},
 booktitle = {Neural Computing \& Applications},
 owner = {liebermann},
 pages = {151-162},
 timestamp = {2007.12.14},
 title = {Nonlinear black box modelling - fuzzy systems versus neural networks},
 volume = {8},
 year = {1999}
}

@conference{Kroll1999a,
 author = {Kroll, A},
 booktitle = {CIMCA '99},
 editor = {M. Jane AND J. Hulskamp AND P. Welch AND D. Stiles AND T.L. Kunii},
 note = {Amsterdam: IOS Press},
 owner = {liebermann},
 pages = {340-345},
 publisher = {Concurrent Systems Engineering Series},
 timestamp = {2007.12.14},
 title = {Grey-box models and their application to a steel mill},
 volume = {55},
 year = {1999}
}

@conference{Kroll1999,
 author = {Kroll, A. AND T. Bernd},
 booktitle = {European Control Conference ECC 99},
 owner = {liebermann},
 timestamp = {2007.12.14},
 title = {From dynamic data to fuzzy state-space controllers: Methodology and
applications},
 year = {1999}
}

@conference{Mikut1999,
 author = {Mikut, R. AND S. Böhlmann AND B. Cuno AND J. Jäkel AND A. Kroll AND
T. Rauschenbach AND B.-M. Pfeiffer AND T. Slawinski},
 booktitle = {GMA-Fachausschuß 5.22 "Fuzzy Control"},
 owner = {liebermann},
 pages = {76-91},
 timestamp = {2007.12.14},
 title = {Fuzzy Logic and Fuzzy Control - Technical Terms and Definitions},
 year = {1999}
}

@conference{Kleutges1998,
 author = {Kleutges AND M. AND T. Bernd AND A. Kroll},
 booktitle = {EUFIT},
 owner = {liebermann},
 pages = {718-722},
 timestamp = {2007.12.14},
 title = {A comparison of neural and fuzzy networks for nonlinear modeling
of a pneumatic drive},
 year = {1998}
}

@conference{Kroll1998,
 author = {Kroll, A},
 booktitle = {ABB Control Conference},
 note = {ABB Corporate Research},
 owner = {liebermann},
 timestamp = {2007.12.14},
 title = {Advanced control for industrial and transportation systems},
 year = {1998}
}

@inproceedings{Kroll1998a,
 author = {Kroll, A},
 booktitle = {Kolloquium "Dynamische Systeme" (invited talk)},
 owner = {liebermann},
 timestamp = {2007.12.14},
 title = {Modelling nonlinear dynamical processes using fuzzy models},
 year = {1998}
}

@conference{Bernd1997,
 author = {Bernd, T. AND A. Kroll},
 booktitle = {European Control Conference ECC 97},
 owner = {liebermann},
 timestamp = {2007.12.14},
 title = {LS-optimal fuzzy modelling and its application to pneumatic drives},
 year = {1997}
}

@conference{Bernd1997a,
 author = {Bernd, T. AND A. Kroll},
 booktitle = {GMA-Fachausschuß 5.22 "Fuzzy Control"},
 owner = {liebermann},
 pages = {154-167},
 timestamp = {2007.12.14},
 title = {Computer-based fuzzy modelling of nonlinear processes with the tool
FIMO 8.1},
 year = {1997}
}

@conference{Bernd1997b,
 author = {Bernd, T. AND A. Kroll},
 booktitle = {GMA-Fachausschuß 1.4.2 "Fuzzy Control"},
 owner = {liebermann},
 pages = {179-190},
 timestamp = {2007.12.14},
 title = {Approximation of nonlinear dynamical processes using optimal functional
fuzzy models},
 year = {1997}
}

@book{Kroll1997,
 address = {Düsseldorf, Germany},
 author = {Kroll, A.},
 edition = {Fortschritt-Berichte VDI},
 isbn = {3-18-361208-9},
 language = {english},
 note = {Dr.-Ing. thesis},
 number = {612},
 owner = {liebermann},
 publisher = {VDI Verlag},
 series = {University of Duisburg},
 timestamp = {2007.12.14},
 title = {Fuzzy systems for modelling and control of complex technical systems},
 volume = {8},
 year = {1997}
}

@conference{Kroll1997d,
 author = {Kroll, A},
 booktitle = {ABB Control Conference},
 note = {ABB Corporate Research},
 owner = {liebermann},
 timestamp = {2007.12.14},
 title = {Nonlinear model-based predictive control. intermediate results},
 year = {1997}
}

@conference{Kroll1997a,
 author = {Kroll, A. AND A. Agte},
 booktitle = {2nd International ICSC Symposium on Softcomputing, Fuzzy Logic, Artificial
Neural Networks and Genetic Algorithms SOCO'97},
 owner = {liebermann},
 pages = {185-191},
 timestamp = {2007.12.14},
 title = {Structure identification of fuzzy models},
 year = {1997}
}

@article{Kroll1997c,
 author = {Kroll, A. AND A. Agte},
 journal = {O+P Ölhydraulik und Pneumatik},
 number = {6},
 owner = {liebermann},
 pages = {414-416},
 timestamp = {2007.12.14},
 title = {Modelling hydraulic drives using fuzzy models},
 volume = {6},
 year = {1997}
}

@article{Kroll1997b,
 author = {Kroll, A. AND W. Gerke AND B. Jordan},
 journal = {Automatisierungstechnische Praxis},
 number = {4},
 owner = {liebermann},
 pages = {49-55},
 timestamp = {2007.12.14},
 title = {Fuzzy modelling and control of a fluidized bed combustion plant for
sludge incineration},
 volume = {39},
 year = {1997}
}

@inproceedings{Mueller1997,
 author = {Müller, M. AND A. Kroll},
 booktitle = {Computer Science Forum Seminar "Computer Tools for Simulation and
Control Design"},
 note = {ABB Corporate Research},
 owner = {liebermann},
 timestamp = {2007.12.14},
 title = {Software tools for simulation and controller design: Current state
and perspectives},
 year = {1997}
}

@conference{Kroll1996,
 author = {Kroll, A},
 booktitle = {Fuzzy Sets and Systems},
 owner = {liebermann},
 pages = {149-158},
 timestamp = {2007.12.14},
 title = {Identification of functional fuzzy models using multidimensional
reference fuzzy sets},
 volume = {80},
 year = {1996}
}

@conference{Kroll1996a,
 author = {Kroll, A},
 booktitle = {IEEE Conference on Systems, Man, and Cybernetics},
 owner = {liebermann},
 pages = {1056-1061},
 timestamp = {2007.12.14},
 title = {Fuzzy modelling of systems with uncertain non-linearities and its
application on pneumatic drives},
 year = {1996}
}

@conference{Kroll1996b,
 author = {Kroll, A},
 booktitle = {Fuzzy96},
 owner = {liebermann},
 pages = {186-195},
 timestamp = {2007.12.14},
 title = {Designing a fuzzy controller for a rotating oscillator using genetic
algorithms},
 year = {1996}
}

@conference{Kroll1996c,
 author = {Kroll, A},
 booktitle = {GMA-Fachausschuß 1.4.2 "Fuzzy Control"},
 owner = {liebermann},
 pages = {1-14},
 timestamp = {2007.12.14},
 title = {Function approximation using fuzzy, hyper and radial basis function
networks and its application to fluid drives},
 year = {1996}
}

@inproceedings{Kroll1996d,
 author = {Kroll, A},
 booktitle = {Seminar 2-9.07.1996 in Duisburg (invited talk)},
 owner = {liebermann},
 timestamp = {2007.12.14},
 title = {Introduction to the theory of fuzzy systems},
 year = {1996}
}

@conference{Kroll1996e,
 author = {Kroll, A},
 booktitle = {2nd World Automation Congress: 1st International Symposium on Soft
Computing for Industry},
 owner = {liebermann},
 timestamp = {2007.12.14},
 title = {Self-learning general fuzzy basis function networks},
 year = {1996}
}

@conference{Kroll1995,
 author = {Kroll, A},
 booktitle = {IEEE Conference on Systems, Man, and Cybernetics},
 owner = {liebermann},
 pages = {7-12},
 timestamp = {2007.12.14},
 title = {Partition identification of fuzzy models using objective function
clustering algorithms},
 year = {1995}
}

@conference{Kroll1995b,
 author = {Kroll, A},
 booktitle = {GMA-Fachausschuß 1.4.2 "Fuzzy Control"},
 owner = {liebermann},
 pages = {225-238},
 timestamp = {2007.12.14},
 title = {Hybrid control concepts with fuzzy modules for a pneumatic conveying
system},
 year = {1995}
}

@inproceedings{Kroll1995c,
 author = {Kroll, A},
 booktitle = {Seminar of the IHK Committee for Research and Development},
 owner = {liebermann},
 timestamp = {2007.12.14},
 title = {Application of fuzzy methods in automatic control},
 year = {1995}
}

@inproceedings{Kroll1995d,
 author = {Kroll, A},
 booktitle = {Seminar Control and Diagnosis of Plants with Fuzzy Logic Methods},
 owner = {liebermann},
 timestamp = {2007.12.14},
 title = {Fuzzy modelling and control of technical plants},
 year = {1995}
}

@article{Kroll1995a,
 author = {Kroll, A. AND W. Gerke},
 journal = {Automatisierungstechnik},
 number = {11},
 owner = {liebermann},
 pages = {525-530},
 timestamp = {2007.12.14},
 title = {Modelling of a pneumatic conveying system for particles using fuzzy
models},
 volume = {43},
 year = {1995}
}

@inproceedings{Kroll1995e,
 author = {Kroll, A. AND K. Küpper},
 booktitle = {Seminar at the Institute for Environmental Technology and Analysis
(IUTA)},
 owner = {liebermann},
 timestamp = {2007.12.14},
 title = {Fuzzy modelling and identification},
 year = {1995}
}

@article{Gerke1994,
 author = {Gerke, W. AND A. Kroll},
 journal = {Automatisierungstechnische Praxis},
 number = {10},
 owner = {liebermann},
 pages = {48-56},
 timestamp = {2007.12.14},
 title = {Control of a plant for crude iron desulfurization with minimal costs},
 volume = {36},
 year = {1994}
}

@inproceedings{Kroll1993,
 author = {Kroll, A},
 booktitle = {Seminar Fuzzy-Control},
 owner = {liebermann},
 timestamp = {2007.12.14},
 title = {Control strategy for measurements at the plant for crude iron desulfurization},
 year = {1993}
}

@article{Reuter1993,
 author = {Reuter, H. AND A. Kroll},
 journal = {Automatisierungstechnik},
 language = {german},
 number = {3},
 owner = {liebermann},
 pages = {142-148},
 timestamp = {2007.12.14},
 title = {Comparison of identification methods for conventional and fuzzy models},
 volume = {46},
 year = {1993}
}