Koen Tiels
TitoloCitata daAnno
Identification of block-oriented nonlinear systems starting from linear approximations: A survey
M Schoukens, K Tiels
Automatica 85, 272-292, 2017
Wiener system identification with generalized orthonormal basis functions
K Tiels, J Schoukens
Automatica 50 (12), 3147-3154, 2014
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
From coupled to decoupled polynomial representations in parallel Wiener-Hammerstein models
K Tiels, J Schoukens
52nd IEEE Conference on Decision and Control, 4937-4942, 2013
Identification of parallel Wiener-Hammerstein systems with a decoupled static nonlinearity
M Schoukens, K Tiels, M Ishteva, J Schoukens
IFAC Proceedings Volumes 47 (3), 505-510, 2014
Decoupling static nonlinearities in a parallel Wiener-Hammerstein system: A first-order approach
P Dreesen, M Schoukens, K Tiels, J Schoukens
2015 IEEE International Instrumentation and Measurement Technology…, 2015
System identification in a real world
J Schoukens, A Marconato, R Pintelon, Y Rolain, M Schoukens, K Tiels, ...
2014 IEEE 13th International Workshop on Advanced Motion Control (AMC), 1-9, 2014
Initial estimates for Wiener–Hammerstein models using phase-coupled multisines
K Tiels, M Schoukens, J Schoukens
Automatica 60, 201-209, 2015
Identifying a Wiener system using a variant of the Wiener G-Functionals
K Tiels, J Schoukens
2011 50th IEEE conference on decision and control and European control…, 2011
Hammerstein system identification through best linear approximation inversion and regularisation
R Castro-Garcia, K Tiels, OM Agudelo, JAK Suykens
International Journal of Control 91 (8), 1757-1773, 2018
Parameter reduction in nonlinear state-space identification of hysteresis
AF Esfahani, P Dreesen, K Tiels, JP Nol, J Schoukens
Mechanical Systems and Signal Processing 104, 884-895, 2018
Generating initial estimates for Wiener-Hammerstein systems using phase coupled multisines
J Schoukens, K Tiels, M Schoukens
19th World Congress of the International Federation of Automatic Control, 2014
Identification of nonlinear block-oriented systems starting from linear approximations: A survey
M Schoukens, K Tiels
CoRR, abs/1607.01217, 2016
Incorporating best linear approximation within LS-SVM-based Hammerstein system identification
R Castro-Garcia, K Tiels, J Schoukens, JAK Suykens
2015 54th IEEE Conference on Decision and Control (CDC), 7392-7397, 2015
Generation of initial estimates for Wiener-Hammerstein models via basis function expansions
K Tiels, M Schoukens, J Schoukens
IFAC Proceedings Volumes 47 (3), 481-486, 2014
Hammerstein System Identification using LS-SVM and Steady State Time Response
R Castro-Garcia, OM Agudelo, K Tiels, JAK Suykens
An Unstructured Flexible Nonlinear Model for the Cascaded Water-tanks Benchmark
R Relan, K Tiels, A Marconato, J Schoukens
IFAC-PapersOnLine 50 (1), 452-457, 2017
Comparison of several data-driven non-linear system identification methods on a simplified glucoregulatory system example
A Marconato, M Schoukens, K Tiels, WD Widanage, A Abu-Rmileh, ...
IET Control Theory & Applications 8 (17), 1921-1930, 2014
Nonlinear state-space modelling of the kinematics of an oscillating circular cylinder in a fluid flow
J Decuyper, T De Troyer, MC Runacres, K Tiels, J Schoukens
Mechanical Systems and Signal Processing 98, 209-230, 2018
A Local Polynomial Approach to Nonparametric Estimation of the Best Linear Approximation of Lithium-Ion Battery From Multiple Datasets
R Relan, K Tiels, JM Timmermans, J Schoukens
IEEE control systems letters 1 (1), 182-187, 2017
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