控制理论(社会学)
反推
跟踪误差
非线性系统
模糊逻辑
控制器(灌溉)
计算机科学
理论(学习稳定性)
李雅普诺夫函数
Lyapunov稳定性
跟踪(教育)
自适应控制
数学
控制(管理)
人工智能
生物
机器学习
物理
量子力学
教育学
心理学
农学
作者
Qi Zhou,Peihao Du,Hongyi Li,Renquan Lu,Jun Yang
出处
期刊:IEEE transactions on systems, man, and cybernetics
[Institute of Electrical and Electronics Engineers]
日期:2021-10-01
卷期号:51 (10): 6369-6380
被引量:81
标识
DOI:10.1109/tsmc.2019.2961371
摘要
This article addresses the problem of decentralized adaptive fuzzy fixed-time control for a class of pure-feedback interconnected nonlinear systems with full-state tracking error constraints. The fuzzy logic systems (FLSs) are adopted to model the unknown nonlinear functions. Combining the properties of the prescribed performance functions (PPFs) with barrier Lyapunov functions (BLFs), the predefined state tracking error dynamic performance and good tracking accuracy are guaranteed. Then, on the basis of the backstepping recursive design technique, a structurally simple adaptive fuzzy fixed-time controller is designed. Furthermore, by the fixed-time stability criterion and the Lyapunov stability theory, it is proven that the boundedness of system signals is guaranteed, and the full-state tracking errors can evolve within the prescribed performance regions within the fixed time. Finally, the effectiveness of the proposed control strategy is demonstrated by some simulation results.
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