Robust Fault-Tolerant Control for Networked Control System Based on Takagi-Sugeno Fuzzy Model

The problem of robust fault-tolerant control for a class of nonlinear networked control systems (NCSs) with parameter uncertainties is investigated in this paper. A T-S fuzzy model is employed to represent the nonlinear controlled plant in the NCSs. Both networked-induced delay and packet dropout in transmission are addressed. By using Lyapunov-Krasovskii functional, the less conservative integrity design for NCSs with failures of actuator and sensor is analyzed based on a delay-dependent approach, and the robust fault-tolerant controller gain can be obtained via solving several linear matrix inequalities (LMIs). Moreover, some slack matrices which reduce conservatism are introduced during the proof. Finally, an example is used to illustrate the effectiveness and the feasibility of the proposed approach.