LAUSR

This paper is concerned with the problem of reliable switched controller design for a class of discrete-time Takagi–Sugeno fuzzy systems with randomly occurring infinite-distributed delays and quantization as well as actuator failures. A random Bernoulli process is used to describe the stochastic infinite-distributed delays. Due to limited communication capacity, the control signal is quantized before being transmitted to the actuator by the logarithmic quantizer. We apply the switching mechanisms to categorize the stochastic behavior of actuator faults. Based on the parallel distributed compensation, the switched feedback controller is designed. By the fuzzy-basis-dependent Lyapunov functional approach, sufficient conditions are obtained to ensure that the resulting closed-loop system is exponentially stable in the mean-square sense with a given $ {l}_{ {2}}$ - $ {l}_{ {\infty }}$ performance index. Then, a numerical example is presented to demonstrate the effectiveness of the proposed new design method.