Active Mode Recognition of Switched Nonlinear ...
Document type :
Article dans une revue scientifique: Article original
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]
Systèmes Tolérants aux Fautes [STF]
Cocquempot, Vincent [Auteur]
Systèmes Tolérants aux Fautes [STF]
Ksouri, Moufida [Auteur]
Systèmes Tolérants aux Fautes [STF]
Pekpe, Midzodzi [Auteur]

Systèmes Tolérants aux Fautes [STF]
Cocquempot, Vincent [Auteur]

Systèmes Tolérants aux Fautes [STF]
Ksouri, Moufida [Auteur]
Journal title :
Asian Journal of Control
Pages :
pp.
Publisher :
Asian Control Association (ACA) and Chinese Automatic Control Society (CACS)
Publication date :
2013
ISSN :
1561-8625
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. The nonlinear modes are represented by Takagi- Sugeno (TS) models where the weighting functions are supposed to be online ...
Show more >Robust switching detection and active mode recognition are addressed for switched nonlinear systems. The nonlinear modes are represented by Takagi- Sugeno (TS) models where the weighting functions are supposed to be online computable. The proposed switching detection technique and the active mode recognition method lie on indicator signals that are generated using a datadriven 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 >
Show more >Robust switching detection and active mode recognition are addressed for switched nonlinear systems. The nonlinear modes are represented by Takagi- Sugeno (TS) models where the weighting functions are supposed to be online computable. The proposed switching detection technique and the active mode recognition method lie on indicator signals that are generated using a datadriven 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
Peer reviewed article :
Oui
Audience :
Internationale
Popular science :
Non
Collections :
Source :