Title :

Robust Mode Recognition in Hybrid Dynamical Systems with Nonlinear Mode

Author(s) :

Zouari, Talel [Auteur]
Laboratoire d'Automatique, Génie Informatique et Signal [LAGIS]
Pekpe, Midzodzi [Auteur]
Systèmes Tolérants aux Fautes [STF]
Cocquempot, Vincent [Auteur]
Systèmes Tolérants aux Fautes [STF]
Ksouri, Mekki [Auteur]

Conference title :

23rd Chinese Control and Decision Conference, IEEE CCDC

City :

Mianyang

Country :

Chine

Start date of the conference :

2011-05-23

Book title :

Control and Decision Conference (CCDC), 2011 Chinese

Publication date :

2011-05-23

English keyword(s) :

Fault Detection and Isolation (FDI)
Hybrid Dynamical Systems (HDS)
Parity Space
Takagi-Sugeno multimodel

HAL domain(s) :

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

English abstract : [en]

Switching detection and active mode recognition in Hybrid Dynamical Systems (HDS) with nonlinear continuous dynamics are considered in this paper. The nonlinear modes are represented by Takagi-Sugeno models. Two methods ...
Show more >Switching detection and active mode recognition in Hybrid Dynamical Systems (HDS) with nonlinear continuous dynamics are considered in this paper. The nonlinear modes are represented by Takagi-Sugeno models. Two methods based on projection techniques are proposed to generate a bank of residuals which are mode indicators: the first one is the well-known parity space method which uses the TS model parameters, the second one is a data-based projection method that does not need the parameter values of the TS model. Robustness of the two methods against parameter uncertainties is discussed. An illustrative example is provided to show the effectiveness of the proposed methods.Show less >

Language :

Anglais

Peer reviewed article :

Oui

Audience :

Internationale

Popular science :

Non

Collections :

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

Source :

Harvested from HAL