控制理论(社会学)
死区
模糊逻辑
观察员(物理)
有界函数
控制器(灌溉)
跟踪误差
计算机科学
反推
模糊控制系统
自适应控制
非线性系统
李雅普诺夫函数
数学
控制(管理)
人工智能
海洋学
物理
量子力学
地质学
数学分析
农学
生物
作者
Kunting Yu,Yongming Li
标识
DOI:10.1080/00207721.2021.1913663
摘要
In this paper, an adaptive fuzzy event-triggered output feedback control scheme is studied for a class of non-strict feedback systems with tracking error constrained and unknown dead-zone. Fuzzy logical systems (FLSs) are employed to solve the uncertainties of the controlled plant, and the immeasurable states are estimated by employing the fuzzy observer. In the designed observer, to compensate for the effect of unknown dead-zone by invoking the known designed event-triggered input signal, an adaptive parameter is designed. Furthermore, due to event-triggered control (ETC) places a great burden on the computing space, the dynamic surface control (DSC) technique is used to solve the problem of ‘explosion of complexity’ in each step, and the simplified barrier Lyapunov function (SBLF) is utilised to restrict the tracking error within the prescribed boundaries. Consequently, the designed parameter adaptive laws and event-triggered controller can ensure that all signals of the closed-loop system are semi-globally uniformly ultimately bounded (SGUUB). Ultimately, two numerical simulation examples are provided to illustrate the effectiveness of the proposed event-triggered control theory.
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