Event-Trigger-Based Finite-Time Adaptive Fuzzy Control for Stochastic Nonlinear Systems With Unmeasured States
Zhaoyang You, Fang Wang, Xinyi Lu
Abstract
In this article, the issue of an event-triggered finite-time control is tackled for a category of stochastic nonlinear systems with unmeasured states. Initially, the capacity of fuzzy logic systems (FLSs) to approximate unknown nonlinear functions is fully utilized. After that, the immeasurable states are measured by the constructed state observer. In addition, via integrating the backstepping approach with a relative-threshold event-triggered condition, an original event-triggered adaptive fast finite-time control scheme is further developed. Theoretically speaking, the presented strategy could ensure that all signals in the closed-loop system are bounded. Most important of all, the Zeno behavior could be successfully excluded upon associated analysis. Last but not least, a simulation is provided to give a surely support of the correctness and the practicability of the theoretical analysis.