Robust Fault-Tolerant Control Design for Fuzzy Networked Control Systems with Data Drift and Sensor Failure

This paper deals with the problem of robust H∞ fault-tolerant controller design for fuzzy networked control systems using static state feedback. The stability of networked control systems is affected by delay, sensor failure and data drift. Therefore, a Lyapunov-Krasovskii functional are exploited to establish asymptotic stability conditions for the underlying system considering these imperfections. It is assumed that sensor failure and data drift, which occur during data transmission over the network, are modeled by a stochastic variable with Bernoulli distribution. The design conditions are presented in terms of linear matrix inequalities, and the efficiency of the proposed approach is shown through a numerical example