Set Adaptive Observers for Linear ...
Document type :
Compte-rendu et recension critique d'ouvrage
DOI :
Title :
Set Adaptive Observers for Linear Parameter-Varying Systems: Application to Fault Detection
Author(s) :
Efimov, Denis [Auteur]
Systèmes Non Linéaires et à Retards [SyNeR]
Non-Asymptotic estimation for online systems [NON-A]
Raissi, Tarek [Auteur]
Centre d'études et de recherche en informatique et communications [CEDRIC]
Zolghadri, Ali [Auteur]
Laboratoire de l'intégration, du matériau au système [IMS]

Systèmes Non Linéaires et à Retards [SyNeR]
Non-Asymptotic estimation for online systems [NON-A]
Raissi, Tarek [Auteur]
Centre d'études et de recherche en informatique et communications [CEDRIC]
Zolghadri, Ali [Auteur]
Laboratoire de l'intégration, du matériau au système [IMS]
Journal title :
Journal of Dynamic Systems, Measurement, and Control
Pages :
7
Publisher :
American Society of Mechanical Engineers
Publication date :
2014-03
ISSN :
0022-0434
English keyword(s) :
Adaptive observers
LPV systems
fault detection
LPV systems
fault detection
HAL domain(s) :
Informatique [cs]/Automatique
English abstract : [en]
This paper deals with the problem of joint state and parameter estimation based on a set adaptive observer design. The problem is formulated and solved for an LPV (Linear Parameter-Varying) system. The resolution methodology ...
Show more >This paper deals with the problem of joint state and parameter estimation based on a set adaptive observer design. The problem is formulated and solved for an LPV (Linear Parameter-Varying) system. The resolution methodology avoids the exponential complexity obstruction usually encountered in the set-membership parameter estimation. A simulation example is presented to illustrate the efficiency of the proposed approach.Show less >
Show more >This paper deals with the problem of joint state and parameter estimation based on a set adaptive observer design. The problem is formulated and solved for an LPV (Linear Parameter-Varying) system. The resolution methodology avoids the exponential complexity obstruction usually encountered in the set-membership parameter estimation. A simulation example is presented to illustrate the efficiency of the proposed approach.Show less >
Language :
Anglais
Popular science :
Non
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