The problem of fuzzy-based adaptive event-triggered tracking control is investigated for a class of non-strict-feedback nonlinear systems within fixed-time interval in this paper. Fuzzy logic system (FLS) is employed to approximate the packaged unknown nonlinearities. Event-triggered mechanism is employed to schedule the data transmission dependent upon errors exceeding certain threshold. And combining backstepping design algorithm with Lyapunov stability theorem, a fuzzy-based adaptive event-triggered controller is developed. The presented control scheme eliminates the singularity problem that may occur in the design process and guarantees the boundedness of all the closed-loop signals. And the tracking error converges into a small neighborhood of zero in fixed-time. Meanwhile, the Zeno behavior is also avoided. At last, the effectiveness of the proposed approach is demonstrated by simulation results.

中文翻译：

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一类非严格反馈非线性系统的事件触发自适应模糊固定时间跟踪控制

本文针对一类非严格反馈非线性系统在固定时间间隔内研究了基于模糊的自适应事件触发跟踪控制问题。采用模糊逻辑系统（FLS）来近似封装的未知非线性。事件触发机制用于根据超过某个阈值的错误来调度数据传输。并结合反步设计算法和李雅普诺夫稳定性定理，开发了一种基于模糊的自适应事件触发控制器。所提出的控制方案消除了设计过程中可能出现的奇异性问题，保证了所有闭环信号的有界性。并且跟踪误差在固定时间内收敛到一个小的零邻域。同时，也避免了芝诺行为。最后，