This paper is devoted to develop an adaptive fuzzy tracking control scheme for switched nonstrict-feedback nonlinear systems (SNFNS) with state constraints based on event-triggered mechanism. All state variables are ensured to keep the predefined regions by employing barrier Lyapunov function (BLF). The fuzzy logic systems are exploited to cope with the unknown dynamics existing the SNFNS. It proposes to mitigate data transmission and save communication source whereby the event-triggered mechanism. With the aid of Lyapunov stability analysis and the average dwell time (ADT) method, it is shown that all variables of the entire SNFNS are uniformly ultimate bounded (UUB) under switching signals. Finally, simulation studies are discussed to substantiate the validity of theoretical findings.

本文致力于开发一种基于事件触发机制的具有状态约束的切换非严格反馈非线性系统（SNFNS）的自适应模糊跟踪控制方案。通过使用障碍李雅普诺夫函数（BLF）确保所有状态变量保持预定义区域。利用模糊逻辑系统来应对 SNFNS 中存在的未知动态。它提出了通过事件触发机制来减轻数据传输并节省通信源。借助李雅普诺夫稳定性分析和平均驻留时间（ADT）方法，表明整个SNFNS的所有变量在切换信号下都是一致最终有界（UUB）。最后，讨论了模拟研究以证实理论发现的有效性。