Zobrazeno 1 - 10
of 37
pro vyhledávání: '"Vincent Laurain"'
Sparse RKHS estimation via globally convex optimization and its application in LPV-IO identification
Publikováno v:
Automatica, 115:108914. Elsevier
Automatica
Automatica, Elsevier, 2020, 115, pp.108914. ⟨10.1016/j.automatica.2020.108914⟩
Automatica
Automatica, Elsevier, 2020, 115, pp.108914. ⟨10.1016/j.automatica.2020.108914⟩
International audience; Function estimation using the Reproducing Kernel Hilbert Space (RKHS) framework is a powerful tool for identification of a general class of nonlinear dynamical systems without requiring much a priori information on model order
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3b84b3fb348b1daf5f061fd8314a2249
https://research.tue.nl/nl/publications/71ae006a-2c2f-4e5d-a196-509e71ab4fa5
https://research.tue.nl/nl/publications/71ae006a-2c2f-4e5d-a196-509e71ab4fa5
Publikováno v:
IFAC-PapersOnLine. 50:11397-11402
Although kernel methods have been successfully applied to many different problems in system identification, choosing an optimal kernel structure can be challenging - particularly in higher-order problems. However by noting that structural information
Publikováno v:
IFAC-PapersOnLine. 50:14125-14130
Over the past twenty years, exponential growth of the internet has led to a continuous struggle for content providers to maintain and improve their quality of service. Furthermore, the evolution of network architecture and increased inter-connectivit
Publikováno v:
Automatica
Automatica, Elsevier, 2015, Automatica, 54, pp.340-347. ⟨10.1016/j.automatica.2015.02.017⟩
Automatica, 54, 340-347. Elsevier
Automatica, Elsevier, 2015, Automatica, 54, pp.340-347. ⟨10.1016/j.automatica.2015.02.017⟩
Automatica, 54, 340-347. Elsevier
International audience; Least-Squares Support Vector Machines (LS-SVMs), originating from Statistical Learning and Reproducing Kernel HilbertSpace (RKHS) theories, represent a promising approach to identify nonlinear systems via nonparametric estimat
Publikováno v:
IFAC-PapersOnLine. 48:350-355
Since the 50 last years, the rapid development of modern agriculture in industrialised countries has considerably affected the quality of water resources, up to the point to jeopardise the capacity of rural territories to produce drinking water. Henc
Publikováno v:
20th IFAC World Congress, IFAC 2017
20th IFAC World Congress, IFAC 2017, Jul 2017, Toulouse, France
HAL
20th IFAC World Congress, IFAC 2017, Jul 2017, Toulouse, France
HAL
International audience; Although kernel methods have been succesfully applied to many different problems in system identification, choosing an optimal kernel structure can be challenging - particularly in higher- order problems. However by noting tha
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::b6382c5f2ee2a5444b023e658c8d22d3
https://hal.archives-ouvertes.fr/hal-01567451
https://hal.archives-ouvertes.fr/hal-01567451
Publikováno v:
16th IFAC Symposium on System Identification, SYSID'2012
16th IFAC Symposium on System Identification, SYSID'2012, Jul 2012, Bruxelles, Belgium. pp.1761-1766, ⟨10.3182/20120711-3-BE-2027.00231⟩
16th IFAC Symposium on System Identification, SYSID'2012, Jul 2012, Bruxelles, Belgium. pp.1761-1766, ⟨10.3182/20120711-3-BE-2027.00231⟩
International audience; This paper describes the latest developments for the CONtinuous-Time System IDentification (CONTSID) toolbox to be run with Matlab. The toolbox supports time-domain identification methods for estimating continuous-time linear
Publikováno v:
IET Control Theory & Applications, 5(7), 878-888. Institution of Engineering and Technology (IET)
IET Control Theory and Applications
IET Control Theory and Applications, Institution of Engineering and Technology, 2011, 5 (7), pp.878-888. ⟨10.1049/iet-cta.2010.0218⟩
IET Control Theory and Applications
IET Control Theory and Applications, Institution of Engineering and Technology, 2011, 5 (7), pp.878-888. ⟨10.1049/iet-cta.2010.0218⟩
International audience; Controllers in the linear parameter-varying (LPV) framework are commonly designed in continuous time (CT) requiring accurate and low-order CT models of the system. However, identification of CT-LPV models is largely unsolved,
Publikováno v:
18th IFAC World Congress, IFAC WC'2011
18th IFAC World Congress, IFAC WC'2011, Aug 2011, Milan, Italy. pp.7773-7778
HAL
Proceedings of the 18th IFAC World Congress, 28 August-2 September 2011, Milano, Italy, 7773-7778
STARTPAGE=7773;ENDPAGE=7778;TITLE=Proceedings of the 18th IFAC World Congress, 28 August-2 September 2011, Milano, Italy
18th IFAC World Congress, IFAC WC'2011, Aug 2011, Milan, Italy. pp.7773-7778
HAL
Proceedings of the 18th IFAC World Congress, 28 August-2 September 2011, Milano, Italy, 7773-7778
STARTPAGE=7773;ENDPAGE=7778;TITLE=Proceedings of the 18th IFAC World Congress, 28 August-2 September 2011, Milano, Italy
International audience; Identification of real life systems is often applied in closed-loop due to stability, performance or safety constraints. However, in case of Linear Parameter-Varying (LPV) systems, closed-loop identification is not well-establ
Publikováno v:
Automatica, 46(6), 959-967. Elsevier
Automatica
Automatica, Elsevier, 2010, 46 (6), pp.959-967. ⟨10.1016/j.automatica.2010.02.026⟩
Automatica
Automatica, Elsevier, 2010, 46 (6), pp.959-967. ⟨10.1016/j.automatica.2010.02.026⟩
International audience; Identification of linear parameter-varying systems in an input-output setting is investigated, focusing on the case when the noise part of the data generating system is an additive colored noise. In the Box-Jenkins and output-