非线性系统
计算机科学
跟踪(教育)
时域
控制理论(社会学)
事件(粒子物理)
领域(数学分析)
控制(管理)
人工智能
数学
心理学
计算机视觉
物理
数学分析
教育学
量子力学
作者
Long Cheng,Feng Zhao,Xiangyong Chen,Jianlong Qiu
标识
DOI:10.1016/j.jfranklin.2024.106876
摘要
This paper proposed an event-triggered adaptive fuzzy prescribed time control strategy for a class of nonlinear systems with uncertain external disturbances and unknown virtual control coefficients under prescribed performance. A novel time-domain mapping technique is proposed to transform the prescribed time tracking control problem into an asymptotic convergence problem. An observer is designed to estimate for the external disturbance and fuzzy approximation error of fuzzy logic systems (FLSs). The problem of "explosion of complexity" is addressed by applying dynamic surface control (DSC) technique to backstepping. An adaptive fuzzy event-triggered strategy is designed using the Lyapunov stability theorem. This strategy ensures that, after time-domain mapping, the tracking error asymptotically converges to zero. Additionally, there is no Zeno behavior and all system signals are bounded. Finally, the effectiveness of the proposed scheme is verified through three simulation examples.
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