Adaptive Fuzzy Control of Nonstrict Feedback Stochastic Systems with Actuator Faults

In this paper, the issue of fault-tolerant control for stochastic nonlinear systems and nonstrict feedback is analyzed. For the controlled system, there exist unknown nonlinear functions. For actuator faults, situations of loss of effectiveness and lock-up are considered. A fuzzy adaptive control strategy is presented. Fuzzy logic systems are applied to the approximation of unknown functions. The results indicate that all signals in the controlled system are bounded and stable in the probabilistic sense, and the tracking error converges to a small vicinity of zero. The validity of conclusions is verified by simulation results.