| Author | Title | Year | Journal/Proceedings | DOI/URL | |
|---|---|---|---|---|---|
| Dürrbaum, A., Kahl, M., Himmelsbach, M. & Kroll, A. | Toolbox zur Identifikation von Takagi-Sugeno-Fuzzy-Modellen [BibTeX] |
2021 | at -- Automatisierungstechnik , Vol. 69 (Oktober) , pp. 915-916 | DOI | |
BibTeX:
@article{2021-Duerrbaum-at-Forum_TS_Toolbox,
author = {Axel Dürrbaum and Matthias Kahl and Matthias Himmelsbach and Andreas Kroll}
, title = {Toolbox zur Identifikation von Takagi-Sugeno-Fuzzy-Modellen}
, journal = {at -- Automatisierungstechnik}
, year = {2021}
, volume = {69}
, number = {Oktober}
, pages = {915--916}
, doi = {https://doi.org/10.1515/auto-2021-0079}
}
|
|||||
| Engelhardt, A., Kahl, M., Richter, J., Krooß, P., Kroll, A. & Niendorf, T. | Investigation of processing windows in additive manufacturing of AlSi10Mg for faster production utilizing data-driven modelling [BibTeX] |
2022 | Additive Manufacturing , Vol. 55 , Elsevier , 102858 | DOI URL | |
BibTeX:
@article{ADDMA2021,
author = {Engelhardt, A and Kahl, M and Richter, J and Krooß, P and Kroll, A and Niendorf, T}
, title = {Investigation of processing windows in additive manufacturing of AlSi10Mg for faster production utilizing data-driven modelling}
, journal = {Additive Manufacturing}
, publisher = {Elsevier}
, year = {2022}
, volume = {55}
, note = {102858}
, url = {https://www.sciencedirect.com/science/article/pii/S2214860422002573}
, doi = {https://doi.org/10.1016/j.addma.2022.102858}
, issn = {2214-8604}
}
|
|||||
| Kahl, M. | Zur Strukturselektion bei dynamischen lokal-affinen Multi-Modellen mittels statistischer Methoden [BibTeX] |
2018 | 52. Regelungstechnisches Kolloquium, Boppard , 21.-23. Februar , Fraunhofer IOSB | URL | |
BibTeX:
@conference{Boppard2018,
author = {Matthias Kahl}
, title = {Zur Strukturselektion bei dynamischen lokal-affinen Multi-Modellen mittels statistischer Methoden}
, booktitle = {52. Regelungstechnisches Kolloquium, Boppard}
, year = {2018}
, url = {https://www.iosb.fraunhofer.de/?boppard}
}
|
|||||
| Kahl, M. | Structure Identification of dynamical Takagi-Sugeno Fuzzy Models by using LPV Techniques [BibTeX] |
2018 | European Conference on Data Analysis (ECDA), Paderborn, Germany , 4.-6. July | URL | |
BibTeX:
@conference{ECDA2018,
author = {Matthias Kahl}
, title = {Structure Identification of dynamical Takagi-Sugeno Fuzzy Models by using LPV Techniques}
, booktitle = {European Conference on Data Analysis (ECDA), Paderborn, Germany}
, year = {2018}
, url = {www.ecda2018.de}
}
|
|||||
| Kahl, M. & Kroll, A. | Structure Identification of Dynamical Takagi-Sugeno Fuzzy Models by Using LPV Techniques [BibTeX] |
2018 | Archives of Data Science, Series A (Online First) , Vol. 5 (1) , pp. A19, 17 S. online | DOI | |
BibTeX:
@article{ECDA2018_full,
author = {Kahl, Matthias and Kroll, Andreas}
, title = {Structure Identification of Dynamical Takagi-Sugeno Fuzzy Models by Using LPV Techniques}
, journal = {Archives of Data Science, Series A (Online First)}
, year = {2018}
, volume = {5}
, number = {1}
, pages = {A19, 17 S. online}
, doi = {https://doi.org/10.5445/KSP/1000087327/19}
, issn = {2363-9881}
}
|
|||||
| Kahl, M. & Kroll, A. | Extending Regularized Least Squares Support Vector Machines for Order Selection of Dynamical Takagi-Sugeno Models | 2020 | IFAC-PapersOnLine 21th IFAC World Congress , Vol. 53 (2) , pp. 1182-1187 , Elsevier , Berlin, Germany , IFAC | ||
| 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. |
|||||
BibTeX:
@inproceedings{Kahl-IFAC-2020,
author = {Matthias Kahl and Andreas Kroll}
, title = {Extending Regularized Least Squares Support Vector Machines for Order Selection of Dynamical Takagi-Sugeno Models}
, booktitle = {21th IFAC World Congress}
, journal = {IFAC-PapersOnLine}
, publisher = {Elsevier}
, year = {2020}
, volume = {53}
, number = {2}
, pages = {1182--1187}
, address = {Berlin, Germany}
}
|
|||||
| Kahl, M., Kroll, A., Kästner, R. & Sofsky, M. | Zur automatisierten Auswahl signifikanter Regressoren für die Identifikation eines dynamischen Ladedruckmodells [BibTeX] |
2014 | 24. Workshop Computational Intelligence , pp. 33-53 , Schriftenreihe des Instituts für Angewandte Informatik / Automatisierungstechnik , KIT Scientific Publishing , Dortmund , 27.-28. November , GMA-FA 5.14 "Computational Intelligence" und GI-FG "Fuzzy-Systeme und Soft-Computing" | DOI | |
BibTeX:
@inproceedings{KahlGMA2014,
author = {Matthias Kahl and Andreas Kroll and Robert Kästner and Manfried Sofsky}
, title = {Zur automatisierten Auswahl signifikanter Regressoren für die Identifikation eines dynamischen Ladedruckmodells}
, booktitle = {24. Workshop Computational Intelligence}
, publisher = {KIT Scientific Publishing}
, year = {2014}
, pages = {33-53}
, address = {Dortmund}
, doi = {https://doi.org/10.5445/KSP/1000043427}
}
|
|||||
| Kahl, M., Kroll, A., Kästner, R. & Sofsky, M. | On the selection of appropriate data from routine vehicle operation for system identification of a diesel engine gas system [BibTeX] |
2017 | Automotive Data Analytics, Methods, DoE - Proceedings of the International Calibration Conference , pp. 283-299 , Berlin, Germany , May 11-12 | ||
BibTeX:
@inproceedings{KahlICC2017,
author = {Matthias Kahl and Andreas Kroll and Robert Kästner and Manfried Sofsky}
, title = {On the selection of appropriate data from routine vehicle operation for system identification of a diesel engine gas system}
, booktitle = {Automotive Data Analytics, Methods, DoE - Proceedings of the International Calibration Conference}
, year = {2017}
, pages = {283-299}
, address = {Berlin, Germany}
}
|
|||||
| Kahl, M., Kroll, A., Kästner, R. & Sofsky, M. | Application of model selection methods for the identification of a dynamic boost pressure model [BibTeX] |
2015 | Proceedings of the 17th IFAC Symposium on System Identification (SysID) , pp. 829-834 , Beijing, China , October 19-21 | DOI | |
BibTeX:
@inproceedings{KahlSysID2015,
author = {Matthias Kahl and Andreas Kroll and Robert Kästner and Manfried Sofsky}
, title = {Application of model selection methods for the identification of a dynamic boost pressure model}
, booktitle = {Proceedings of the 17th IFAC Symposium on System Identification (SysID)}
, year = {2015}
, pages = {829-834}
, address = {Beijing, China}
, doi = {https://doi.org/10.1016/j.ifacol.2015.12.232}
}
|
|||||
| Kahl, M., Schramm, S., Neumann, M. & Kroll, A. | Identification of a Spatio-Temporal Temperature Model for Laser Metal Deposition [BibTeX] |
2021 | Metals , Vol. November (12) , Multidisciplinary Digital Publishing Institute | DOI URL | |
BibTeX:
@article{kahl2021ident2dt,
author = {Kahl, Matthias and Schramm, Sebastian and Neumann, Max and Kroll, Andreas}
, title = {Identification of a Spatio-Temporal Temperature Model for Laser Metal Deposition}
, journal = {Metals}
, publisher = {Multidisciplinary Digital Publishing Institute}
, year = {2021}
, volume = {November}
, number = {12}
, url = {https://www.mdpi.com/2075-4701/11/12/2050}
, doi = {https://doi.org/10.3390/met11122050}
, issn = {2075-4701}
}
|
|||||
| Schramm, S., Kahl, M. & Andreas, K. | Experimentelle messtechnische Charakterisierung der Emissionsgradbestimmung mittels 3D-Thermografie [BibTeX] |
2021 | FG Mess- und Regelungstechnik , Universität Kassel , August , Abschlussbericht | URL | |
BibTeX:
@techreport{Schramm2021WIPANO,
author = {Schramm, Sebastian and Kahl, Matthias and Kroll Andreas}
, title = {Experimentelle messtechnische Charakterisierung der Emissionsgradbestimmung mittels 3D-Thermografie}
, school = {FG Mess- und Regelungstechnik}
, type = {Abschlussbericht}
, year = {2021}
, address = {Universität Kassel}
, url = {https://www.tib.eu/de/suchen/id/TIBKAT:1777149630}
}
|
|||||
| Wittich, F., Gringard, M., Kahl, M., Kroll, A., Niendorf, T. & Zinn, W. | Datengetriebene Modellierung zur Prädiktion des Eigenspannungstiefenverlaufs beim Hartdrehen [BibTeX] |
2018 | 28. Workshop Computational Intelligence , pp. 61 - 81 , KIT Scientific Publishing , Dortmund , 29.-30. November , GMA-FA 5.14 | URL | |
BibTeX:
@inproceedings{WittichGMA2018,
author = {Felix Wittich and Matthias Gringard and Matthias Kahl and Andreas Kroll and Thomas Niendorf and Wolfgang Zinn}
, title = {Datengetriebene Modellierung zur Prädiktion des Eigenspannungstiefenverlaufs beim Hartdrehen}
, booktitle = {28. Workshop Computational Intelligence}
, publisher = {KIT Scientific Publishing}
, year = {2018}
, pages = {61 -- 81}
, address = {Dortmund}
, url = {https://www.rst.e-technik.tu-dortmund.de/cms/de/Veranstaltungen/GMA-Fachausschuss/index.html}
}
|
|||||
| Wittich, F., Kahl, M. & Kroll, A. | Zur Schätzung zulässiger Parametermengen nichtlinearer Takagi-Sugeno-Multi-Modelle mit garantierten Fehlerschranken [BibTeX] |
2019 | 29. Workshop Computational Intelligence , pp. 247-254 , KIT Scientific Publishing , Dortmund , 28.-29. November , GMA-FA 5.14 | DOI | |
BibTeX:
@inproceedings{WittichGMA2019,
author = {Felix Wittich and Matthias Kahl and Andreas Kroll}
, title = {Zur Schätzung zulässiger Parametermengen nichtlinearer Takagi-Sugeno-Multi-Modelle mit garantierten Fehlerschranken}
, booktitle = {29. Workshop Computational Intelligence}
, publisher = {KIT Scientific Publishing}
, year = {2019}
, pages = {247-254}
, address = {Dortmund}
, doi = {https://doi.org/10.5445/KSP/1000098736}
}
|
|||||
| Wittich, F., Kahl, M., Kroll, A., Zinn, W. & Niendorf, T. | On Nonlinear Empirical Modeling of Residual Stress Profiles in Hard Turning [BibTeX] |
2019 | IEEE International Conference on Systems, Man, and Cybernetics (SMC 2019) , pp. 3235 - 3240 , Bari, Italy , 06.-09. October , IEEE | ||
BibTeX:
@inproceedings{WittichSMC2019,
author = {Felix Wittich and Matthias Kahl and Andreas Kroll and Wolfgang Zinn and Thomas Niendorf}
, title = {On Nonlinear Empirical Modeling of Residual Stress Profiles in Hard Turning}
, booktitle = {IEEE International Conference on Systems, Man, and Cybernetics (SMC 2019)}
, year = {2019}
, pages = {3235 -- 3240}
, address = {Bari, Italy}
}
|
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