Fuzzy adaptive state-feedback fault-tolerant control for switched stochastic nonlinear systems with faults

In this paper, the fault-tolerant control (FTC) problem is investigated for a class of uncertain switched stochastic nonlinear systems. The controlled system contains unknown nonlinear functions and actuator faults, which are modeled as both lock-in-place and loss of effectiveness. With the help of fuzzy logic systems to approximate the unknown nonlinear functions and by utilizing the common Lyapunov function (CLF) method, a fuzzy adaptive state-feedback fault-tolerant tracking control approach is developed. It is shown that all the variables of the closed-loop system are semi-globally uniformly bounded (SGUUB) in probability, the tracking error converges to an arbitrary small neighborhood of the origin. A simulation is given to demonstrate the effectiveness of the proposed approach.