Fixed-Time Adaptive Fuzzy Control for Uncertain Nonlinear Systems

被引：103
作者：
Lu, Kaixin [1 ,2 ]
Liu, Zhi [1 ,2 ]
Wang, Yaonan [3 ,4 ]
Chen, C. L. Philip [5 ,6 ]
机构：
[1] Guangdong Univ Technol, Sch Automat, Guangzhou 510006, Peoples R China
[2] Guangdong HongKong Macao Joint Lab Smart Discrete, Guangzhou 510006, Peoples R China
[3] Hunan Univ, Coll Elect & Informat Engn, Changsha 410082, Peoples R China
[4] Hunan Univ, Natl Engn Lab Robot Visual Percept & Control, Changsha 410082, Peoples R China
[5] Dalian Maritime Univ, Nav Coll, Dalian 116026, Peoples R China
[6] South China Univ Technol, Sch Comp Sci & Engn, Guangzhou 510006, Peoples R China
来源：
IEEE TRANSACTIONS ON FUZZY SYSTEMS | 2021年 / 29卷 / 12期
基金：
中国国家自然科学基金;
关键词：
Nonlinear systems; Adaptive systems; Fuzzy control; Asymptotic stability; Uncertainty; Switches; Adaptive fuzzy control; backstepping; fixed time; uncertain nonlinear systems; DYNAMIC SURFACE CONTROL; FINITE-TIME; TRACKING CONTROL; INTERVAL TYPE-2; STABILIZATION; DESIGN; STABILITY; SYNCHRONIZATION; CONSENSUS; INPUT;
D O I：
10.1109/TFUZZ.2020.3028458
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Most current methodologies on fixed-time adaptive fuzzy control for uncertain nonlinear systems result in practical fixed-time stability but not fixed-time stability, or require prior knowledge of the system dynamics. To obviate such restrictions, a fixed-time adaptive fuzzy control scheme is newly proposed with the discoveries of a singularity-avoidance virtual control design, a modified class of tuning functions, and a projection operator based adaptation mechanism. Fixed-time stability is established in the sense that the tracking error asymptotically converges to a user-defined interval within a prescribed fixed time. Illustrative examples verify the approaches developed.
引用
收藏
页码：3769 / 3781
页数：13
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