This paper studies the event-triggered adaptive fuzzy control (AFC) problem for switched nonlinear systems with state constraints. Fuzzy logic systems are explored to handle the lumped unknown dynamics. The barrier Lyapunov function is deployed to solve state constraints. In addition, event-triggered mechanism is incorporated into the backstepping framework to mitigate the communication burden. The constructed event-triggered AFC scheme not only surmounts the effect of state constraints to system performance, but also saves network and data transmission. By resorting to the Lyapunov stability analysis and the average dwell time method, it is shown that all system signals are bounded under switching signals and the predefined constraints are not violated. Finally, simulation analysis on the mass-spring-damper systems are conducted to substantiate the validity of the designed scheme.

研究带状态约束的非线性切换系统的事件触发自适应模糊控制（AFC）问题。探索了模糊逻辑系统来处理总的未知动力学。障碍部署Lyapunov函数以解决状态约束。此外，将事件触发机制并入Backstepping框架以减轻通信负担。构造的事件触发AFC方案不仅克服了状态约束对系统性能的影响，而且节省了网络和数据传输。通过使用Lyapunov稳定性分析和平均停留时间方法，可以看出所有系统信号都在开关信号下有界，并且没有违反预定义的约束。最后，对质量弹簧-阻尼器系统进行了仿真分析，以证实所设计方案的有效性。