| 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 | 715 | 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 | 434 | 2003 |
| Parameter and differentiation order estimation in fractional models S Victor, R Malti, H Garnier, A Oustaloup Automatica 49 (4), 926-935, 2013 | 252 | 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 | 196 | 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 | 166 | 2006 |
| Direct continuous-time approaches to system identification. Overview and benefits for practical applications H Garnier European Journal of control 24, 50-62, 2015 | 126 | 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 | 117 | 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 | 113 | 2016 |
| Numerical illustrations of the relevance of direct continuous-time model identification GP Rao, H Garnier IFAC Proceedings Volumes 35 (1), 133-138, 2002 | 104 | 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 | 101 | 2014 |
| 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 | 90 | 2015 |
| 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 | 90 | 2011 |
| 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 | 90 | 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 | 80 | 2001 |
| 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 | 79 | 2008 |
| 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 | 73 | 2004 |
| The CONTSID toolbox: a matlab toolbox for CONtinuous-Time System IDentification H Garnier, M Mensler IFAC Proceedings Volumes 33 (15), 851-856, 2000 | 70 | 2000 |
| Instrumental variable scheme for closed-loop LPV model identification R Toth, V Laurain, M Gilson, H Garnier Automatica 48 (9), 2314-2320, 2012 | 65 | 2012 |
| 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 | 64 | 2000 |
| System identification, environmental modelling, and control system design L Wang, H Garnier Springer Science & Business Media, 2011 | 59 | 2011 |
Marion GilsonProfessor, Université de LorraineVerified email at cran.uhp-nancy.fr
