Hugues Garnier
Hugues Garnier
Professor of Control Engineering
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Direct identification of continuous-time models from sampled data: Issues, basic solutions and relevance
H Garnier, L Wang, PC Young
Identification of continuous-time models from sampled data, 1-29, 2008
Continuous-time model identification from sampled data: implementation issues and performance evaluation
H Garnier, M Mensler, A Richard
International journal of Control 76 (13), 1337-1357, 2003
Parameter and differentiation order estimation in fractional models
S Victor, R Malti, H Garnier, A Oustaloup
Automatica 49 (4), 926-935, 2013
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
Identification and estimation of continuous-time, data-based mechanistic (DBM) models for environmental systems
PC Young, H Garnier
Environmental modelling & software 21 (8), 1055-1072, 2006
Direct continuous-time approaches to system identification. Overview and benefits for practical applications
H Garnier
European Journal of control 24, 50-62, 2015
An optimal IV technique for identifying continuous-time transfer function model of multiple input systems
H Garnier, M Gilson, PC Young, E Huselstein
Control engineering practice 15 (4), 471-486, 2007
Accurate Lithium-ion battery parameter estimation with continuous-time system identification methods
B Xia, X Zhao, R De Callafon, H Garnier, T Nguyen, C Mi
Applied energy 179, 426-436, 2016
Numerical illustrations of the relevance of direct continuous-time model identification
GP Rao, H Garnier
IFAC Proceedings Volumes 35 (1), 133-138, 2002
The advantages of directly identifying continuous-time transfer function models in practical applications
H Garnier, PC Young
International Journal of Control 87 (7), 1319-1338, 2014
Optimal instrumental variable method for closed-loop identification
M Gilson, H Garnier, PC Young, PMJ Van den Hof
IET control theory & applications 5 (10), 1147-1154, 2011
Robust identification of continuous-time models with arbitrary time-delay from irregularly sampled data
F Chen, H Garnier, M Gilson
Journal of process control 25, 19-27, 2015
An optimal instrumental variable method for continuous-time fractional model identification
R Malti, S Victor, A Oustaloup, H Garnier
IFAC Proceedings Volumes 41 (2), 14379-14384, 2008
Refined instrumental variable identification of continuous-time hybrid Box-Jenkins models
PC Young, H Garnier, M Gilson
Identification of continuous-time models from sampled data, 91-131, 2008
A PMF-based subspace method for continuous-time model identification. Application to a multivariable winding process
T Bastogne, H Garnier, P Sibille
International Journal of Control 74 (2), 118-132, 2001
Time-domain approaches to continuous-time model identification of dynamical systems from sampled data
H Garnier, P Young
Proceedings of the 2004 American control conference 1, 667-672, 2004
The CONTSID toolbox: a matlab toolbox for CONtinuous-Time System IDentification
H Garnier, M Mensler
IFAC Proceedings Volumes 33 (15), 851-856, 2000
A bias-eliminated least-squares method for continuous-time model identification of closed-loop systems
H Garnier, M Gilson, WX Zheng
International Journal of Control 73 (1), 38-48, 2000
Instrumental variable scheme for closed-loop LPV model identification
R Toth, V Laurain, M Gilson, H Garnier
Automatica 48 (9), 2314-2320, 2012
System identification, environmental modelling, and control system design
L Wang, H Garnier
Springer Science & Business Media, 2011
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