Event Trigger Fuzzy Adaptive Compensation Control of Uncertain Stochastic Nonlinear Systems With Actuator Failures

In this paper, event trigger fuzzy adaptive compensation control for the uncertain stochastic nonlinear system with actuator failures is considered. Although great strides have been made in the accommodating nonlinear system recently, it remains a challenge to establish an event-triggered-based controller for the uncertain stochastic nonlinear system with actuator failures, especially to ensure asymptotic tracking performance. In this paper, we propose a new relative event trigger adaptive fuzzy controller established by utilizing the techniques of robust approach to address the actuator failures and stochastic interference. It is proven that the proposed scheme guarantees the bounding of all closed-loop signals and the asymptotic convergence performance of tracking error. Simulation results demonstrate that our proposed control scheme for compensating the stochastic nonlinear system guarantees effectiveness.