Fuzzy Adaptive Fixed-time Quantized Feedback Control for a Class of Nonlinear Systems

被引：0
|
作者：
Wang, Huan-Qing [1 ]
Chen, Ming [2 ]
Liu, Xiao-Ping [3 ]
机构：
[1] College of Mathematical Sciences, Bohai University, Jinzhou,121007, China
[2] School of Electronic and Information Engineering, University of Science and Technology Liaoning, Anshan,114044, China
[3] Department of Electrical Engineering, Lakehead University, Thunder Bay,P7G 1A4, Canada
来源：
Zidonghua Xuebao/Acta Automatica Sinica | 2021年 / 47卷 / 12期
基金：
中国国家自然科学基金;
关键词：
Hysteresis - Adaptive control systems - Backstepping - Feedback - Fuzzy logic - Numerical methods - Fuzzy control;
D O I：
10.16383/j.aas.c190681
中图分类号：
学科分类号：
摘要：
The problem of fuzzy adaptive practical fixed-time quantized feedback control for a class of strict-feedback nonlinear systems is investigated. Based on the Lyapunov finite-time stability theory, adaptive fuzzy control theory and backstepping algorithm, a fuzzy adaptive practical fixed-time quantized feedback tracking controller is developed, which ensures that the output tracking error converges to a small neighborhood of the origin in a fixed period of time and all the signals in the closed-loop system are bounded. Finally, a numerical example demonstrates the effectiveness of the proposed method. Copyright ©2021 Acta Automatica Sinica. All rights reserved.
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收藏
页码：2823 / 2830
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