Fault Identification and Fault-Tolerant Control for Nonlinear Systems Based on Fuzzy T-S Model

In this paper, diagnosis of actuator/component faults for a class of networked control nonlinear systems based on fuzzy T-S model using adaptive observer techniques is investigated. At first, under certain conditions, a stable adaptive fault diagnosis observer is proposed. Then based on the fault estimation information, a fault tolerant control is designed to recover the system performance using LMI method. Finally, simulation results verify the efficient of the proposed method.