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ORCIDVincent Laurain
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2020 – today
- 2020
[j5]Vincent Laurain, Roland Tóth, Dario Piga
, Mohamed Abdelmonim Hassan Darwish:
Sparse RKHS estimation via globally convex optimization and its application in LPV-IO identification. Autom. 115: 108914 (2020)- [i1]Krishnan Srinivasarengan, Taha Boukhobza, Samir Aberkane, Vincent Laurain:
Simultaneous Detectability of Process and Sensor Faults: Application to Water Distribution Networks. CoRR abs/2007.09401 (2020)
2010 – 2019
- 2016
- [c14]Yusuf Bhujwalla, Vincent Laurain, Marion Gilson:
The impact of smoothness on model class selection in nonlinear system identification: An application of derivatives in the RKHS. ACC 2016: 1808-1813 - [c13]Yusuf Bhujwalla, Vincent Laurain, Marion Gilson:
An RKHS approach to systematic kernel selection in nonlinear system identification. CDC 2016: 3898-3903 - 2015
- [j4]Dario Piga, Pepijn B. Cox, Roland Tóth, Vincent Laurain:
LPV system identification under noise corrupted scheduling and output signal observations. Autom. 53: 329-338 (2015) - [j3]Vincent Laurain, Roland Tóth, Dario Piga, Wei Xing Zheng:
An instrumental least squares support vector machine for nonlinear system identification. Autom. 54: 340-347 (2015) - 2014
- [c12]Rene Duijkers, Roland Tóth, Dario Piga, Vincent Laurain:
Shrinking complexity of scheduling dependencies in LS-SVM based LPV system identification. CDC 2014: 2561-2566 - [c11]Qinghua Zhang, Vincent Laurain:
Wiener system identification by weighted principal component analysis. ECC 2014: 1705-1710 - [c10]Julien Schorsch, Vincent Laurain, Marion Gilson, Hugues Garnier:
Refined IV-based method for LPV partial differential equation model identification. ECC 2014: 2127-2132 - 2013
- [c9]Qinghua Zhang, Vincent Laurain:
Single Minimum Nonlinearity Wiener System Identification by Weighted Principal Component Analysis. ALCOSP 2013: 384-389 - [c8]Julien Schorsch, Marion Gilson, Vincent Laurain, Hugues Garnier:
Identification of LPV partial differential equation models. CDC 2013: 4547-4552 - 2012
- [j2]Roland Tóth, Vincent Laurain, Marion Gilson, Hugues Garnier:
Instrumental variable scheme for closed-loop LPV model identification. Autom. 48(9): 2314-2320 (2012) - 2011
- [c7]Vincent Laurain, Marion Gilson, Roland Tóth, Hugues Garnier:
Direct identification of continuous-time LPV models. ACC 2011: 159-164 - [c6]Roland Tóth, Vincent Laurain, Wei Xing Zheng, Kameshwar Poolla:
Model structure learning: A support vector machine approach for LPV linear-regression models. CDC/ECC 2011: 3192-3197 - [c5]Vincent Laurain, Wei Xing Zheng, Roland Tóth:
Introducing instrumental variables in the LS-SVM based identification framework. CDC/ECC 2011: 3198-3203 - 2010
- [j1]Vincent Laurain, Marion Gilson, Roland Tóth, Hugues Garnier:
Refined instrumental variable methods for identification of LPV Box-Jenkins models. Autom. 46(6): 959-967 (2010) - [c4]Vincent Laurain, Marion Gilson, Roland Tóth, Hugues Garnier:
Identification of LPV output-error and Box-Jenkins models via optimal refined instrumental variable methods. ACC 2010: 3865-3870
2000 – 2009
- 2009
- [c3]Vincent Laurain, Marion Gilson, Hugues Garnier:
Refined instrumental variable methods for identifying hammerstein models operating in closed loop. CDC 2009: 3614-3619 - 2008
- [c2]Vincent Laurain, Marion Gilson, Hugues Garnier, Peter C. Young:
Refined instrumental variable methods for identification of Hammerstein continuous-time Box-Jenkins models. CDC 2008: 1386-1391 - 2006
- [c1]Vincent Laurain, Dieter Hönigmann:
Contrast Enhancement for Hypoechoic Lesions. EMBC 2006: 3333-3336
Coauthor Index
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