Active Mode Recognition of Switched Nonlinear ...
Type de document :
Compte-rendu et recension critique d'ouvrage
DOI :
Titre :
Active Mode Recognition of Switched Nonlinear Systems: Application to Fault Detection and Isolation
Auteur(s) :
Zouari, Talel [Auteur]
Systèmes Tolérants aux Fautes [STF]
Pekpe, Midzodzi [Auteur]
Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]
Cocquempot, Vincent [Auteur]
Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]
Ksouri, Moufida [Auteur]
Systèmes Tolérants aux Fautes [STF]
Pekpe, Midzodzi [Auteur]
Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]
Cocquempot, Vincent [Auteur]
Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]
Ksouri, Moufida [Auteur]
Titre de la revue :
Asian Journal of Control
Éditeur :
Asian Control Association (ACA) and Chinese Automatic Control Society (CACS)
Date de publication :
2014-03
ISSN :
1561-8625
Mot(s)-clé(s) en anglais :
Active mode estimation
Nonlinear systems
switched systems
Hybrid systems
Takagi Sugeno model
Fault detection and isolation
Nonlinear systems
switched systems
Hybrid systems
Takagi Sugeno model
Fault detection and isolation
Discipline(s) HAL :
Sciences de l'ingénieur [physics]/Automatique / Robotique
Résumé en anglais : [en]
Robust switching detection and active mode recognition are addressed for switched nonlinear systems that may switch among non linear modes taken from a finite set. The proposed method uses only a partial knowledge of system ...
Lire la suite >Robust switching detection and active mode recognition are addressed for switched nonlinear systems that may switch among non linear modes taken from a finite set. The proposed method uses only a partial knowledge of system parameters and is robust toward local model parameters uncertainties. A possible application of our method is fault detection and isolation, where faulty situations are represented as faulty modes. The nonlinear modes are represented by Takagi-Sugeno models. The proposed switching detection technique and the active mode recognition method use indicator signals that are generated using a data-driven projection technique. The main advantage of this method is that it does not need the knowledge of local model parameters values. Only input-output data and the weighting functions of the TS model are used to generate these indicator signals. A numerical example is provided to illustrate the proposed approach.Lire moins >
Lire la suite >Robust switching detection and active mode recognition are addressed for switched nonlinear systems that may switch among non linear modes taken from a finite set. The proposed method uses only a partial knowledge of system parameters and is robust toward local model parameters uncertainties. A possible application of our method is fault detection and isolation, where faulty situations are represented as faulty modes. The nonlinear modes are represented by Takagi-Sugeno models. The proposed switching detection technique and the active mode recognition method use indicator signals that are generated using a data-driven projection technique. The main advantage of this method is that it does not need the knowledge of local model parameters values. Only input-output data and the weighting functions of the TS model are used to generate these indicator signals. A numerical example is provided to illustrate the proposed approach.Lire moins >
Langue :
Anglais
Vulgarisation :
Oui
Collections :
Source :
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