@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}
}

@conference{Boppard2018,
 author = {Matthias Kahl},
 booktitle = {52. Regelungstechnisches Kolloquium, Boppard},
 month = {21.-23. Februar},
 mrtnote = {nopeer,FuzzyIdControl,SFS_TS},
 organization = {Fraunhofer IOSB},
 owner = {duerrbaum},
 timestamp = {2016.02.22},
 title = {Zur Strukturselektion bei dynamischen lokal-affinen Multi-Modellen mittels statistischer
Methoden},
 url = {https://www.iosb.fraunhofer.de/?boppard},
 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{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{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}
}