Abstract:

In order to maintain the higher reliability and desired dynamic performance of the system in the case of actuator failures, the problems of robust fault-tolerant control for a class of nonlinear NCSs (Networked Control Systems) based on T-S fuzzy model with uncertainties and time-delay are investigated. In consideration with the imperfect networked environment with quantization error, a global fuzzy model of the closed-loop system is established by using PDC (Parallel Distributed Compensation) algorithm. By constructing a delay-dependent Lyapunov function, utilizing Jensen inequality and introducing the free-weighting matrices, the conditions for the existence of robust fault-tolerant H_∞controllers of the closed-loop system are obtained, and the design of controllers is converted into a convex optimization problem of solving a set of linear matrix nequalities. A simulation example illustrates the effectiveness of the proposed approach.

Key words: networked control systems, T-S fuzzy model, actuator failure, quantization error