控制理论(社会学)
反推
非线性系统
沉降时间
模糊控制系统
模糊逻辑
自适应控制
自适应系统
磁滞
跟踪误差
有界函数
计算机科学
数学
理论(学习稳定性)
控制工程
控制(管理)
工程类
人工智能
数学分析
阶跃响应
物理
机器学习
量子力学
作者
Yan Zhang,Mohammed Chadli,Zhengrong Xiang
出处
期刊:IEEE Transactions on Fuzzy Systems
[Institute of Electrical and Electronics Engineers]
日期:2023-08-01
卷期号:31 (8): 2522-2531
被引量:16
标识
DOI:10.1109/tfuzz.2022.3228012
摘要
The adaptive fuzzy predefined-time tracking control problem for a class of nonlinear systems with output hysteresis is investigated in this article. An inverse model is utilized to capture the output hysteresis phenomenon, and then, the Nussbaum-type function technique is utilized to overcome the difficulty of unknown time-varying control gain caused by output hysteresis. An adaptive fuzzy control scheme under the backstepping framework is developed using the predefined-time stability criterion. Different from the existing predefined-time design approaches, the adaptive law designed in this article is represented as a nonlinear differential equation. Theoretical analysis demonstrates that all signals of the closed-loop systems are bounded, and the tracking error can converge to the neighborhood near the origin within an expected settling time. The developed scheme's feasibility is verified by an example of an electromechanical system.
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