Roland Toth
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Geciteerd door
Modeling and identification of linear parameter-varying systems
R Tóth
Springer, 2010
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
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
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
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
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
Asymptotically optimal orthonormal basis functions for LPV system identification
R Tóth, PSC Heuberger, PMJ Van den Hof
Automatica 45 (6), 1359-1370, 2009
Modeling and Identification of Linear Parameter-Varying Systems-an Orthonormal Basis Function Approac
R Tóth
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
Direct learning of LPV controllers from data
S Formentin, D Piga, R Tóth, SM Savaresi
Automatica 65, 98-110, 2016
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
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
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
Instrumental variable scheme for closed-loop LPV model identification
R Toth, V Laurain, M Gilson, H Garnier
Automatica 48 (9), 2314-2320, 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
State-space LPV model identification using kernelized machine learning
SZ Rizvi, JM Velni, F Abbasi, R Tóth, N Meskin
Automatica 88, 38-47, 2018
LPV system identification under noise corrupted scheduling and output signal observations
D Piga, P Cox, R Toth, V Laurain
Automatica 53, 329-338, 2015
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
Direct identification of continuous-time linear parameter-varying input/output models
V Laurain, R Tóth, M Gilson, H Garnier
IET Control Theory & Applications 5 (7), 878-888, 2011
Embedding of nonlinear systems in a linear parameter-varying representation
HS Abbas, R Tóth, M Petreczky, N Meskin, J Mohammadpour
IFAC Proceedings Volumes 47 (3), 6907-6913, 2014
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