Delay-Partitioning Approach to State and Sensor/Actuator Fault Estimation for T-S Fuzzy Systems with Time-Delay - Archive ouverte HAL Access content directly
Conference Papers Year : 2018

Delay-Partitioning Approach to State and Sensor/Actuator Fault Estimation for T-S Fuzzy Systems with Time-Delay

Mohamed Chaabane
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Abstract

This brief studies the problem of state and fault estimation for Takagi-Sugeno (T-S) fuzzy systems with time delay subject to simultaneously sensor/actuator faults and external disturbances. By extending the sensor faults as an auxiliary state vector, the original system is transformed into an augmented descriptor system. Adaptive Observer is proposed to achieve a simultaneous estimation of descriptor system states, actuator and sensor faults using the constrained H1 norm optimization. Based on the Lyapunov functional method and delay-partitioning technique, delay-dependent design conditions of the fuzzy observer are derived in terms of linear matrix inequalities (LMIs). An example is finally presented to validate our findings.

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hal-01790451 , version 1 (12-05-2018)

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  • HAL Id : hal-01790451 , version 1

Cite

Dhouha Kharrat, Hamdi Gassara, Ahmed El Hajjaji, Mohamed Chaabane. Delay-Partitioning Approach to State and Sensor/Actuator Fault Estimation for T-S Fuzzy Systems with Time-Delay. IEEE World Congress on Computational Intelligence (IEEE WCCI- IEEE FUZZ ), Jul 2018, Rio De Janeiro, Brazil. ⟨hal-01790451⟩
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