Titre :

Distinguishability and Similarity between modes in Hybrid System Monitoring

Auteur(s) :

Takrouni, Asmal [Auteur]
Cocquempot, Vincent [Auteur]
Systèmes Tolérants aux Fautes [STF]
Zanzouri, Nadia [Auteur]
Ksouri, Mekki [Auteur]

Titre de la manifestation scientifique :

2011 International Conference on Communications, Computing and Control Applications (IEEE CCCA'11)

Ville :

Hammamet

Pays :

Tunisie

Date de début de la manifestation scientifique :

2011-03-03

Titre de l’ouvrage :

Communications, Computing and Control Applications (CCCA), 2011 International Conference on

Date de publication :

2011-03-03

Mot(s)-clé(s) en anglais :

Fault detection
Hybrid systems
Luenberger observer
distinguishability

Discipline(s) HAL :

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

Résumé en anglais : [en]

The general principle of model-based Fault Detection and Isolation (FDI) algorithms aims to compare the expected behavior of the system, given by a model, with its actual behavior, known through on-line observations. ...
Lire la suite >The general principle of model-based Fault Detection and Isolation (FDI) algorithms aims to compare the expected behavior of the system, given by a model, with its actual behavior, known through on-line observations. Accordingly, this paper considers Hybrid Dynamical Systems (HDS), since the behavior is determined by the interaction between continuous and discrete dynamics. The proposed FDI method is based on Luenberger observers. The resulting faults indicators allow detecting both continuous and discrete faults. The property of distinguishability will be considered to guarantee modes identification and the similarity between modes is given in order to reduce residuals calculation.Lire moins >

Langue :

Anglais

Comité de lecture :

Oui

Audience :

Internationale

Vulgarisation :

Non

Collections :

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

Source :

Harvested from HAL