Title :

Active Mode Recognition of Switched Nonlinear Systems: Application to Fault Detection and Isolation

Author(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]

Journal title :

Asian Journal of Control

Publisher :

Asian Control Association (ACA) and Chinese Automatic Control Society (CACS)

Publication date :

2014-03

ISSN :

1561-8625

English keyword(s) :

Active mode estimation
Nonlinear systems
switched systems
Hybrid systems
Takagi Sugeno model
Fault detection and isolation

HAL domain(s) :

Sciences de l'ingénieur [physics]/Automatique / Robotique

English abstract : [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 ...
Show more >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.Show less >

Language :

Anglais

Popular science :

Oui

Collections :

• Centre de Recherche en Informatique, Signal et Automatique de Lille (CRIStAL) - UMR 9189

Source :

Harvested from HAL