On Interval Observer Design for a Class ...
Document type :
Communication dans un congrès avec actes
Title :
On Interval Observer Design for a Class of Continuous-Time LPV Systems
Author(s) :
Chebotarev, Stanislav [Auteur]
Department of Control Systems and Informatics
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]
Department of Control Systems and Informatics
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]
Conference title :
IFAC Nolcos 2013
City :
Toulouse
Country :
France
Start date of the conference :
2013-09-03
Publication date :
2013-09-04
HAL domain(s) :
Informatique [cs]/Automatique
English abstract : [en]
This work is devoted to interval observer design for Linear Parameter-Varying (LPV) systems under assumption that the vector of scheduling parameters is not available for measurements. Stability conditions are expressed ...
Show more >This work is devoted to interval observer design for Linear Parameter-Varying (LPV) systems under assumption that the vector of scheduling parameters is not available for measurements. Stability conditions are expressed in terms of matrix inequalities, which can be solved using standard numerical solvers. Robustness and estimation accuracy with respect to model uncertainty is analyzed using L_inf/L_1 framework. Two solutions are proposed for nonnegative systems and for a generic case. The efficiency of the proposed approach is demonstrated through computer simulations.Show less >
Show more >This work is devoted to interval observer design for Linear Parameter-Varying (LPV) systems under assumption that the vector of scheduling parameters is not available for measurements. Stability conditions are expressed in terms of matrix inequalities, which can be solved using standard numerical solvers. Robustness and estimation accuracy with respect to model uncertainty is analyzed using L_inf/L_1 framework. Two solutions are proposed for nonnegative systems and for a generic case. The efficiency of the proposed approach is demonstrated through computer simulations.Show less >
Language :
Anglais
Peer reviewed article :
Oui
Audience :
Internationale
Popular science :
Non
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