Robust Takagi-Sugeno sensor fault tolerant control strategy for nonlinear system

This paper presents a robust Fault Tolerant Tracking Control (FTTC) design for nonlinear uncertain systems describedby Takagi Sugeno (T-S) fuzzy models with unmeasurable premise variables subject to sensor faults. A ProportionalIntegral Observer (PIO) is proposed to estimate the faulty states and the time-varying sensor faults. The FTTC issynthesized based on the estimation derived from the PIO with a guaranteedH1performance to minimize the effect ofthe external disturbance. The trajectory tracking performances and the stability of the closed loop system are analyzedbased on the Lyapunov theory and theL2optimization. The stability condition are formulated in terms of LinearMatrix Inequality (LMI). The proposed robust FTTC is illustrated using simulation results