Maarten Schoukens

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Roland TothFull Professor, Eindhoven University of TechnologyVerified email at tue.nl
Yves RolainVUB dept ELECVerified email at vub.ac.be
Koen TielsLecturer, Eindhoven University of Technology (TU/e)Verified email at tue.nl
Gerben BeintemaEindhoven University of TechnologyVerified email at tue.nl
Jean-Philippe NoëlMechanical Engineering Department, KU LeuvenVerified email at kuleuven.be
Rik PintelonProfessor in electrical engineering, Vrije Universiteit Brussel, dept. ELECVerified email at vub.ac.be
Gerd VandersteenVrije Universiteit BrusselVerified email at vub.be
Dhruv KhandelwalVerified email at vdletg.com
Lucian Cristian IacobPhD Student, Control Systems Group, Eindhoven University of TechnologyVerified email at tue.nl
Rodolphe SepulchreProfessor of Engineering, KU Leuven and University of CambridgeVerified email at kuleuven.be
Thiago BurghiUniversity of CambridgeVerified email at cam.ac.uk
Chris VerhoekPhD Candidate in Control Systems group @TU/eVerified email at tue.nl
Paul M.J. Van den HofProfessor Eindhoven University of TechnologyVerified email at tue.nl
Sofie HaesaertElectrical Engineering Department, TU EindhovenVerified email at tue.nl
Valentina BreschiAssistant Professor @ TU/eVerified email at tue.nl
Wouter M. KouwEindhoven University of TechnologyVerified email at tue.nl
J.H. HoekstraEindhoven University of TechnologyVerified email at tue.nl
Dr. Zsolt Kollár, PhD.Electrical engineer, Budapest University of Technology and Economics, Head of the MATLAB LaboratoryVerified email at mit.bme.hu
Gaetan KerschenUniversity of LiegeVerified email at ulg.ac.be
Mircea LazarAssociate Professor, Eindhoven University of TechnologyVerified email at tue.nl

Maarten Schoukens

Associate Professor, Eindhoven University of Technology (TU/e)

Verified email at tue.nl - Homepage

system identification data-driven modeling machine learning for systems and control


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Identification of block-oriented nonlinear systems starting from linear approximations: A survey M Schoukens, K Tiels Automatica 85, 272-292, 2017	258	2017
Parametric identification of parallel Hammerstein systems M Schoukens, R Pintelon, Y Rolain Instrumentation and Measurement, IEEE Transactions on 60 (12), 3931 - 3938, 2011	86	2011
Identification of Wiener–Hammerstein systems by a nonparametric separation of the best linear approximation M Schoukens, R Pintelon, Y Rolain Automatica 50 (2), 628-634, 2014	72	2014
Three Benchmarks Addressing Open Challenges in Nonlinear System Identification M Schoukens, JP Noël IFAC-PapersOnLine 50 (1), 446-451, 2017	68	2017
Nonparametric data-driven modeling of linear systems: estimating the frequency response and impulse response function J Schoukens, K Godfrey, M Schoukens IEEE Control Systems Magazine 38 (4), 49-88, 2018	64	2018
Cascaded tanks benchmark combining soft and hard nonlinearities M Schoukens, P Mattsson, T Wigren, JP Noel Workshop on Nonlinear System Identification Benchmarks, 2016	62	2016
Parametric identification of parallel Wiener–Hammerstein systems M Schoukens, A Marconato, R Pintelon, G Vandersteen, Y Rolain Automatica 51, 111-122, 2015	60	2015
Filter-based regularisation for impulse response modelling A Marconato, M Schoukens, J Schoukens IET Control Theory & Applications 11 (2), 194 – 204, 2017	58	2017
Nonlinear state-space identification using deep encoder networks G Beintema, R Toth, M Schoukens Learning for Dynamics and Control, 241-250, 2021	55	2021
Hysteretic benchmark with a dynamic nonlinearity JP Noël, M Schoukens Workshop on Nonlinear System Identification Benchmarks, 2016	51	2016
Parametric Identification of Parallel Wiener Systems M Schoukens, Y Rolain Instrumentation and Measurement, IEEE Transactions on 61 (10), 2825 - 2832, 2012	41	2012
Structure discrimination in block-oriented models using linear approximations: A theoretic framework J Schoukens, R Pintelon, Y Rolain, M Schoukens, K Tiels, L Vanbeylen, ... Automatica 53, 225-234, 2015	39	2015
F-16 aircraft benchmark based on ground vibration test data JP Noël, M Schoukens Workshop on Nonlinear System Identification Benchmarks, 2017	38	2017
Deep subspace encoders for nonlinear system identification GI Beintema, M Schoukens, R Tóth Automatica 156, 111210, 2023	37	2023
Improved Initialization of State-Space Artificial Neural Networks M Schoukens 2021 European Control Conference (ECC), 1913-1918, 2021	32	2021
Identification of Hammerstein-Wiener Systems M Schoukens, EW Bai, Y Rolain 16th IFAC Symposium on System Identification 16 (1), 274-279, 2012	31	2012
Structure Detection of Wiener–Hammerstein Systems With Process Noise E Zhang, M Schoukens, J Schoukens IEEE Transactions on Instrumentation and Measurement 66 (3), 569-576, 2017	26	2017
Cross-term Elimination in Parallel Wiener Systems Using a Linear Input Transformation M Schoukens, Y Rolain Instrumentation and Measurement, IEEE Transactions on 61 (3), 845 - 847, 2012	26	2012
Initial estimates for Wiener–Hammerstein models using phase-coupled multisines K Tiels, M Schoukens, J Schoukens Automatica 60, 201-209, 2015	25	2015
Identification of parallel Wiener-Hammerstein systems with a decoupled static nonlinearity M Schoukens, K Tiels, M Ishteva, J Schoukens 19th World Congress The International Federation of Automatic Control, 505-510, 2014	25	2014

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