This article considers the issue of event-triggered adaptive fuzzy control for state-constrained nonstrict-feedback nonlinear time-delay systems. The adverse effect of time-delay is effectively overcome by choosing the approximate Lyapunov–Krasovskii functional. The fuzzy logic systems are utilized to address unknown dynamics. The computation complexity is reduced by taking the norm of fuzzy weight vector as estimation. The barrier Lyapunov function is employed to ensure the prescribed constraints. To decrease the update frequency of control signal, event-triggered mechanism is fused into backstepping design process. The semi-globally uniformly ultimately bounded (SGUUB) of the closed-loop system is proved by virtue of Lyapunov stability analysis. Two simulation examples are given to account for the usefulness of the developed method.

本文考虑状态约束非严格反馈非线性时滞系统的事件触发自适应模糊控制问题。通过选择近似的 Lyapunov-Krasovskii 泛函，有效地克服了时滞的不利影响。模糊逻辑系统用于解决未知动态。以模糊权向量的范数作为估计，降低了计算复杂度。使用障碍 Lyapunov 函数来确保规定的约束。为了降低控制信号的更新频率，将事件触发机制融合到反推设计过程中。Lyapunov稳定性分析证明了闭环系统的半全局一致最终有界（SGUUB）。给出了两个仿真示例来说明所开发方法的有用性。