Multi-objective H-/H∞ Fault Detection Observer Design for Takagi-Sugeno Fuzzy Systems with Unmeasurable Premise Variables: Descriptor Approach - Archive ouverte HAL Accéder directement au contenu
Article Dans Une Revue International Journal of Adaptive Control and Signal Processing Année : 2012

Multi-objective H-/H∞ Fault Detection Observer Design for Takagi-Sugeno Fuzzy Systems with Unmeasurable Premise Variables: Descriptor Approach

S. Aouaouda
  • Fonction : Auteur
Vincent Cocquempot
T. Khadir
  • Fonction : Auteur

Résumé

This paper investigates the problem of robust fault detection observer design for nonlinear Takagi-Sugeno models with unmeasurable premise variables subject to sensor faults and unknown bounded disturbance. The main idea is to synthesize a robust fault detection observer by means of a mixed H =H1 performance index. The considered observer is used to estimate jointly states and faults. Using the technique of descriptor system representation, we proposed a new less-conservative approach in term of a linear matrix inequality (LMI) by considering the sensor fault as an auxiliary state variable. A solution of the problem is obtained by using an iterative LMI procedure.
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Dates et versions

hal-00799462 , version 1 (12-03-2013)

Identifiants

  • HAL Id : hal-00799462 , version 1

Citer

S. Aouaouda, Mohammed Chadli, Vincent Cocquempot, T. Khadir. Multi-objective H-/H∞ Fault Detection Observer Design for Takagi-Sugeno Fuzzy Systems with Unmeasurable Premise Variables: Descriptor Approach. International Journal of Adaptive Control and Signal Processing, 2012, pp. ⟨hal-00799462⟩
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