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Fault detection and isolation of nonlinear systems / Jun Xu in Transactions of the ASME . Journal of dynamic systems, measurement, and control, Vol. 134 N° 4 (Juillet 2012) 

Public ISBD [article]  in Transactions of the ASME . Journal of dynamic systems, measurement, and control > Vol. 134 N° 4 (Juillet 2012) . - 07 p. Titre : Fault detection and isolation of nonlinear systems : an unknown input observer approach with sum-of-squares techniques Type de document : texte imprimé Auteurs : Jun Xu, Auteur ; Kai-Yew Lum, Auteur ; Lihua Xie, Auteur Année de publication : 2012 Article en page(s) : 07 p. Note générale : Dynamic systems Langues : Anglais (eng) Mots-clés : Novel  nonlinear  unknown  input  observer  (UIO)  Fault  detection  and  isolation  (FDI)  Sum-of-squares  (SOS)  theory  Lie  geometry Index. décimale : 629.8 Résumé : This paper presents a novel nonlinear unknown input observer (UIO) design method for fault detection and isolation (FDI) of a class of nonlinear affine systems. By using sum-of-squares (SOS) theory and Lie geometry as the main tools, we demonstrate how to relax the rank constraint in the traditional UIO approach and simplify the design procedure, especially for the polynomial nonlinear systems. Meanwhile, we show that the detection and isolation thresholds based on the L2 gains can be easily obtained via optimization formulated in terms of SOS. Simulation examples are given to illustrate the design procedure and the advantages. DEWEY : 629.8 ISSN : 0022-0434 En ligne : http://asmedl.org/getabs/servlet/GetabsServlet?prog=normal&id=JDSMAA000134000004 [...] [article] Fault detection and isolation of nonlinear systems : an unknown input observer approach with sum-of-squares techniques [texte imprimé] / Jun Xu, Auteur ; Kai-Yew Lum, Auteur ; Lihua Xie, Auteur . - 2012 . - 07 p. Dynamic systems Langues : Anglais (eng) in Transactions of the ASME . Journal of dynamic systems, measurement, and control > Vol. 134 N° 4 (Juillet 2012) . - 07 p. Mots-clés : Novel  nonlinear  unknown  input  observer  (UIO)  Fault  detection  and  isolation  (FDI)  Sum-of-squares  (SOS)  theory  Lie  geometry Index. décimale : 629.8 Résumé : This paper presents a novel nonlinear unknown input observer (UIO) design method for fault detection and isolation (FDI) of a class of nonlinear affine systems. By using sum-of-squares (SOS) theory and Lie geometry as the main tools, we demonstrate how to relax the rank constraint in the traditional UIO approach and simplify the design procedure, especially for the polynomial nonlinear systems. Meanwhile, we show that the detection and isolation thresholds based on the L2 gains can be easily obtained via optimization formulated in terms of SOS. Simulation examples are given to illustrate the design procedure and the advantages. DEWEY : 629.8 ISSN : 0022-0434 En ligne : http://asmedl.org/getabs/servlet/GetabsServlet?prog=normal&id=JDSMAA000134000004 [...]