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

Yosr Garbouj (1) , Thach Ngoc Dinh (2) , Zhenhua Wang (3) , Talel Zouari (1, 4) , Moufida Ksouri (1) , Tarek Raissi (2)

1 ENIT - Ecole Nationale d'Ingénieurs de Tunis
2 CEDRIC - LAETITIA - CEDRIC. Traitement du signal et architectures électroniques
3 HIT - Harbin Institute of Technology
4 ESPRIT - Ecole Supérieure Privée d'Ingénierie et de Technologies

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.

Keywords: Nonlinear switched system; interval observer design; Takagi-Sugeno models; unmeasurable premise variables; stability; robustness

Domains: Automatic

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⟩