Finite-Time Adaptive Fuzzy Event-Triggered Control for Nonstrict Feedback Stochastic Nonlinear Systems With Multiple Constraints
Yingchun Wang, Zhiyong Wang, Huaguang Zhang, Xiangpeng Xie
Abstract
This article presents a novel finite-time adaptive fuzzy event-triggered control strategy for stochastic nonlinear systems in nonstrict feedback structure, where time-varying output constraints and input delay are considered. To deal with the output constraints, a stochastic nonlinear mapping is developed to transform the original system into an equivalent one without output constraints. Furthermore, the Pade approximation method is applied to address the input delay by introducing a new intermediate variable. Then, a novel adaptive event-triggered mechanism is proposed to reduce the number of data transmissions and mitigate the effects of tracking error. The stability analysis shows that the closed-loop signals are semiglobal finite-time stable in probability, while the tracking performances are well and satisfy the output constraint condition. Finally, simulation results demonstrate the effectiveness of the developed approach.