Roland Toth

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Paul M.J. Van den HofProfessor Eindhoven University of TechnologyVerified email at tue.nl
Nader MeskinProfessor, Qatar UniversityVerified email at qu.edu.qa
Javad Mohammadpour VelniUniv. of GeorgiaVerified email at uga.edu
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
Maarten SchoukensAssistant Professor, Eindhoven University of Technology (TU/e)Verified email at tue.nl
Pepijn B. CoxTNOVerified email at tno.nl
Hugues GarnierProfessor in Automatic ControlVerified email at univ-lorraine.fr
Mircea LazarAssociate Professor, Eindhoven University of TechnologyVerified email at tue.nl
Patrick J. W. KoelewijnEindhoven University of TechnologyVerified email at tue.nl
M.A.H. (Mohamed) DarwishAssiut UniversityVerified email at eng.au.edu.eg
Herbert WernerHamburg University of Technology (TUHH)Verified email at tuhh.de
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
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

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	563	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	172	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	130	2007
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	114	2011
Asymptotically optimal orthonormal basis functions for LPV system identification R Tóth, PSC Heuberger, PMJ Van den Hof Automatica 45 (6), 1359-1370, 2009	109	2009
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	105	2014
Modeling and identification of linear parameter-varying systems an orthonormal basis function approach R Tóth	101	2008
Smoke: Single-stage monocular 3d object detection via keypoint estimation Z Liu, Z Wu, R Tóth Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020	90	2020
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	74	2010
Direct learning of LPV controllers from data S Formentin, D Piga, R Tóth, SM Savaresi Automatica 65, 98-110, 2016	62	2016
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	61	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	60	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	55	2011
Instrumental variable scheme for closed-loop LPV model identification R Toth, V Laurain, M Gilson, H Garnier Automatica 48 (9), 2314-2320, 2012	50	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	48	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	45	2011
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	41	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
LPV system identification under noise corrupted scheduling and output signal observations D Piga, P Cox, R Toth, V Laurain Automatica 53, 329-338, 2015	39	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	38	2014

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