Robust Fault Detection for switched Takagi-Sugeno systems with unmeasurable premise variables: Interval-Observer-based approach - Cnam - Conservatoire national des arts et métiers
Communication Dans Un Congrès Année : 2020

Robust Fault Detection for switched Takagi-Sugeno systems with unmeasurable premise variables: Interval-Observer-based approach

Résumé

This paper deals with the problem of robust fault detection for continuous-time switched Takagi-Sugeno (T-S) fuzzy models. A procedure based on interval observers is proposed. First, an interval observer is designed under the assumption that the disturbances as well as the uncertainties are unknown but bounded. Stability and nonnegativity properties are given in terms of Linear Matrix Inequalities (LMIs) taking into account disturbances attenuation. Next, residual intervals generated by the interval observer are used for fault detection decision. Finally, a numerical example is provided to show the usefulness of this approach.
Fichier principal
Vignette du fichier
tnd_IFACWC_2020.pdf (183.62 Ko) Télécharger le fichier
Origine Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

hal-02516094 , version 1 (23-03-2020)

Identifiants

  • HAL Id : hal-02516094 , version 1

Citer

Yosr Garbouj, Thach Ngoc Dinh, Zhenhua Wang, Talel Zouari, Moufida Ksouri, et al.. Robust Fault Detection for switched Takagi-Sugeno systems with unmeasurable premise variables: Interval-Observer-based approach. 21st IFAC World Congress, Jul 2020, Berlin, Germany. ⟨hal-02516094⟩
228 Consultations
212 Téléchargements

Partager

More