Roland Toth

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Co-authors

Paul M.J. Van den HofProfessor Eindhoven University of TechnologyVerified email at tue.nl
Nader MeskinAssociate Professor, Qatar UniversityVerified email at qu.edu.qa
Dario PigaSenior Researcher at IDSIA - Dalle Molle Institute for ArtificiaI Intelligence, SUPSI-USI, LuganoVerified email at supsi.ch
Hossam Seddik AbbasAssiut University, EgyptVerified email at eng.au.edu.eg
Marion GilsonProfessor, Université de LorraineVerified email at cran.uhp-nancy.fr
Hugues GarnierProfessor in Automatic ControlVerified email at univ-lorraine.fr
Pepijn B. CoxTNOVerified email at tno.nl
M.A.H. (Mohamed) DarwishAssiut UniversityVerified email at eng.au.edu.eg
Herbert WernerHamburg University of Technology (TUHH)Verified email at tuhh.de
Mircea LazarEindhoven University of TechnologyVerified email at tue.nl
Mihaly PetreczkyCentre de Recherche en Informatique, Signal et Automatique de Lille (CRIStAL), UMR CNRS 9189, CNRSVerified email at ec-lille.fr
alrianes bachnasVerified email at tue.nl
Wei Xing ZhengDistinguished Professor, Western Sydney University, AustraliaVerified email at westernsydney.edu.au
Maarten SchoukensAssistant Professor, Eindhoven University of Technology (TU/e)Verified email at tue.nl
Syed Zeeshan RizviCorning Inc.Verified email at corning.com
Gianluigi PillonettoProfessor of Automatic Control, University of PadovaVerified email at dei.unipd.it
Simone FormentinAssociate Professor, Politecnico di MilanoVerified email at polimi.it
Sergio Matteo Savaresipolitecnico milanoVerified email at polimi.it
arash golabiVerified email at qu.edu.qa
Xavier BomboisCNRS Research Director, Laboratoire Ampère, Ecole Centrale de LyonVerified email at ec-lyon.fr

Roland Toth

Associate Professor, Eindhoven University of Technology

Verified email at tue.nl - Homepage

Data-driven Modelling Linear Parameter-Varying Systems Machine-Learning for Modeling and Control


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Modeling and identification of linear parameter-varying systems R Tóth Springer, 2010	466	2010
Refined instrumental variable methods for identification of LPV Box–Jenkins models V Laurain, M Gilson, R Tóth, H Garnier Automatica 46 (6), 959-967, 2010	152	2010
Discrete time LPV I/O and state space representations, differences of behavior and pitfalls of interpolation R Tóth, F Felici, PSC Heuberger, PMJ Van den Hof 2007 European Control Conference (ECC), 5418-5425, 2007	122	2007
Asymptotically optimal orthonormal basis functions for LPV system identification R Tóth, PSC Heuberger, PMJ Van den Hof Automatica 45 (6), 1359-1370, 2009	106	2009
On the state-space realization of LPV input-output models: Practical approaches R Tóth, HS Abbas, H Werner IEEE transactions on control systems technology 20 (1), 139-153, 2011	101	2011
Modeling and Identification of Linear Parameter-Varying Systems-an orthonormal basis function approach R Tóth PhD thesis, Technische Universiteit Delft, 2008	97	2008
A review on data-driven linear parameter-varying modeling approaches: A high-purity distillation column case study AA Bachnas, R Tóth, JHA Ludlage, A Mesbah Journal of Process Control 24 (4), 272-285, 2014	75	2014
Discretisation of linear parameter-varying state-space representations R Toth, PSC Heuberger, PMJ Van den Hof IET control theory & applications 4 (10), 2082-2096, 2010	62	2010
Model structure learning: A support vector machine approach for LPV linear-regression models R Tóth, V Laurain, WX Zheng, K Poolla 2011 50th IEEE Conference on Decision and Control and European Control …, 2011	55	2011
The behavioral approach to linear parameter-varying systems R Tóth, JC Willems, PSC Heuberger, PMJ Van den Hof IEEE Transactions on Automatic Control 56 (11), 2499-2514, 2011	52	2011
Compressive system identification of LTI and LTV ARX models BM Sanandaji, TL Vincent, MB Wakin, R Tóth, K Poolla 2011 50th IEEE Conference on Decision and Control and European Control …, 2011	49	2011
Instrumental variable scheme for closed-loop LPV model identification R Toth, V Laurain, M Gilson, H Garnier Automatica 48 (9), 2314-2320, 2012	47	2012
Compressive system identification in the linear time-invariant framework R Tóth, BM Sanandaji, K Poolla, TL Vincent 2011 50th IEEE Conference on Decision and Control and European Control …, 2011	40	2011
On the discretization of linear fractional representations of LPV systems R Tóth, M Lovera, PSC Heuberger, M Corno, PMJ Van den Hof IEEE Transactions on Control Systems Technology 20 (6), 1473-1489, 2011	40	2011
An instrumental least squares support vector machine for nonlinear system identification V Laurain, R Tóth, D Piga, WX Zheng Automatica 54, 340-347, 2015	39	2015
Direct learning of LPV controllers from data S Formentin, D Piga, R Tóth, SM Savaresi Automatica 65, 98-110, 2016	36	2016
Direct identification of continuous-time linear parameter-varying input/output models V Laurain, R Toth, M Gilson, H Garnier IET Control Theory & Applications 5 (7), 878-888, 2011	35	2011
LPV system identification under noise corrupted scheduling and output signal observations D Piga, P Cox, R Toth, V Laurain Automatica 53, 329-338, 2015	34	2015
Sparse estimation of polynomial and rational dynamical models CR Rojas, R Tóth, H Hjalmarsson IEEE Transactions on Automatic Control 59 (11), 2962-2977, 2014	33	2014
Crucial aspects of zero-order hold LPV state-space system discretization R Tóth, F Felici, PSC Heuberger, PMJ Van den Hof IFAC Proceedings Volumes 41 (2), 4952-4957, 2008	32	2008

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