Adaptive Observer for Parabolic PDEs with Uncertain Parameter in the Boundary Condition

Tarek Ahmed-Ali 1 Fouad Giri 1 M. Krstic Laurent Burlion 2 Françoise Lamnabhi-Lagarrigue 3
1 Equipe Automatique - Laboratoire GREYC - UMR6072
GREYC - Groupe de Recherche en Informatique, Image, Automatique et Instrumentation de Caen
2 Toulouse - ONERA - The French Aerospace Lab
3 L2S - Laboratoire des signaux et systèmes
Abstract : We are considering the problem of state observation for a class of infinite dimensional systems. The latter are modelled by a parabolic PDE and a boundary condition involving an unknown parameter. The problem is dealt with using an adaptive observer that provides online estimates of the system (spatially distributed) state and the unknown parameters. The observer is formally shown to be exponentially convergent under an ad-hoc persistent excitation condition.
Keywords : adaptive systems multidimensional systems observers parabolic equations partial differential equations uncertain systems
Type de document :
Communication dans un congrès
14th European Control Conference , Jun 2015, Linz, Australia. Proceedings of the 14th European Control Conference. 〈10.1109/ECC.2015.7330725〉
Liste complète des métadonnées
https://hal-centralesupelec.archives-ouvertes.fr/hal-01260473
Contributeur : Myriam Baverel <>
Soumis le : vendredi 22 janvier 2016 - 11:26:18
Dernière modification le : mardi 24 avril 2018 - 01:42:16

Identifiants

Collections

GREYC | L2S | SUP_LSS | CENTRALESUPELEC | SUP_SYSTEMES | TDS-MACS | UNIV-PARIS-SACLAY | COMUE-NORMANDIE

Citation

Tarek Ahmed-Ali, Fouad Giri, M. Krstic, Laurent Burlion, Françoise Lamnabhi-Lagarrigue. Adaptive Observer for Parabolic PDEs with Uncertain Parameter in the Boundary Condition. 14th European Control Conference , Jun 2015, Linz, Australia. Proceedings of the 14th European Control Conference. 〈10.1109/ECC.2015.7330725〉. 〈hal-01260473〉

Exporter

BibTeX TEI DC DCterms EndNote

Partager

Métriques

Consultations de la notice

279

Contact

support.ccsd.cnrs.fr
hal.support@ccsd.cnrs.fr
Logo CCSD