Vincent Laurain

Publication Activity (10 Years)

Years Active: 2006-2020
Publications (10 Years): 4

Top Topics

Principal Component Analysis

Top Venues

Publications

Krishnan Srinivasarengan, Taha Boukhobza, Samir Aberkane, Vincent Laurain
Simultaneous Detectability of Process and Sensor Faults: Application to Water Distribution Networks. CoRR (2020)
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 (2020)
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)
Yusuf Bhujwalla, Vincent Laurain, Marion Gilson
An RKHS approach to systematic kernel selection in nonlinear system identification. CDC (2016)
Dario Piga, Pepijn B. Cox, Roland Tóth, Vincent Laurain
LPV system identification under noise corrupted scheduling and output signal observations. Autom. 53 (2015)
Vincent Laurain, Roland Tóth, Dario Piga, Wei Xing Zheng
An instrumental least squares support vector machine for nonlinear system identification. Autom. 54 (2015)
Julien Schorsch, Vincent Laurain, Marion Gilson, Hugues Garnier
Refined IV-based method for LPV partial differential equation model identification. ECC (2014)
Qinghua Zhang, Vincent Laurain
Wiener system identification by weighted principal component analysis. ECC (2014)
Rene Duijkers, Roland Tóth, Dario Piga, Vincent Laurain
Shrinking complexity of scheduling dependencies in LS-SVM based LPV system identification. CDC (2014)
Qinghua Zhang, Vincent Laurain
Single Minimum Nonlinearity Wiener System Identification by Weighted Principal Component Analysis. ALCOSP (2013)
Julien Schorsch, Marion Gilson, Vincent Laurain, Hugues Garnier
Identification of LPV partial differential equation models. CDC (2013)
Roland Tóth, Vincent Laurain, Marion Gilson, Hugues Garnier
Instrumental variable scheme for closed-loop LPV model identification. Autom. 48 (9) (2012)
Vincent Laurain, Wei Xing Zheng, Roland Tóth
Introducing instrumental variables in the LS-SVM based identification framework. CDC/ECC (2011)
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)
Vincent Laurain, Marion Gilson, Roland Tóth, Hugues Garnier
Direct identification of continuous-time LPV models. ACC (2011)
Vincent Laurain, Marion Gilson, Roland Tóth, Hugues Garnier
Refined instrumental variable methods for identification of LPV Box-Jenkins models. Autom. 46 (6) (2010)
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)
Vincent Laurain, Marion Gilson, Hugues Garnier
Refined instrumental variable methods for identifying hammerstein models operating in closed loop. CDC (2009)
Vincent Laurain, Marion Gilson, Hugues Garnier, Peter C. Young
Refined instrumental variable methods for identification of Hammerstein continuous-time Box-Jenkins models. CDC (2008)
Vincent Laurain, Dieter Hönigmann
Contrast Enhancement for Hypoechoic Lesions. EMBC (2006)