Fault Diagnosis for Nonlinear Networked Control Systems Based on T-S Fuzzy Model

Abstract

In this paper, a fault diagnosis method is proposed for nonlinear networked control systems (NCSs) with random delays. First, a two-layer quasi T-S fuzzy model based on probability is presented for the NCSs. Stochastic and nonlinear features of the NCSs are incorporated in the model. Then, based on this model the fuzzy observer and the residual generator are designed to estimate the unmeasurable state and indicate faults. Sufficient conditions on the stability of the fuzzy observer and the existence of the robust residual generator are presented. Finally, an example is included to show the efficiency of the proposed method.