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Roland Toth
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Modeling and identification of linear parameter-varying systems
R Tóth
Springer, 2010
7402010
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
4222020
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
2002010
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
1582011
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
1532014
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
1362007
Asymptotically optimal orthonormal basis functions for LPV system identification
R Tóth, PSC Heuberger, PMJ Van den Hof
Automatica 45 (6), 1359-1370, 2009
1162009
Modeling and identification of linear parameter-varying systems: an orthonormal basis function approach
R Tóth
1122008
Discretisation of linear parameter-varying state-space representations
R Tóth, PSC Heuberger, PMJ Van den Hof
IET control theory & applications 4 (10), 2082-2096, 2010
952010
Direct learning of LPV controllers from data
S Formentin, D Piga, R Tóth, SM Savaresi
Automatica 65, 98-110, 2016
862016
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
812011
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
702011
Instrumental variable scheme for closed-loop LPV model identification
R Toth, V Laurain, M Gilson, H Garnier
Automatica 48 (9), 2314-2320, 2012
672012
Data-driven predictive control for linear parameter-varying systems
C Verhoek, HS Abbas, R Tóth, S Haesaert
IFAC-PapersOnLine 54 (8), 101-108, 2021
662021
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
642011
State-space LPV model identification using kernelized machine learning
SZ Rizvi, JM Velni, F Abbasi, R Tóth, N Meskin
Automatica 88, 38-47, 2018
632018
Nonlinear state-space identification using deep encoder networks
G Beintema, R Toth, M Schoukens
Learning for dynamics and control, 241-250, 2021
612021
Fundamental lemma for data-driven analysis of linear parameter-varying systems
C Verhoek, R Tóth, S Haesaert, A Koch
2021 60th IEEE conference on decision and control (CDC), 5040-5046, 2021
582021
LPV system identification under noise corrupted scheduling and output signal observations
D Piga, P Cox, R Tóth, V Laurain
Automatica 53, 329-338, 2015
582015
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
572011
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