A Fuzzy Adaptive Tracking Control for MIMO Switched Uncertain Nonlinear Systems in Strict-Feedback Form

被引：45
作者：
Cui, Yang [1 ,2 ]
Zhang, Huaguang [1 ]
Wang, Yingchun [1 ]
Jiang, He [1 ]
机构：
[1] Northeastern Univ, Sch Informat Sci & Engn, Shenyang 110819, Liaoning, Peoples R China
[2] Univ Sci & Technol Liaoning, Sch Elect & Informat Engn, Anshan 114051, Peoples R China
来源：
IEEE TRANSACTIONS ON FUZZY SYSTEMS | 2019年 / 27卷 / 12期
基金：
中国国家自然科学基金;
关键词：
Switches; Adaptive systems; Backstepping; MIMO communication; Complexity theory; Average dwell time; fuzzy adaptive tracking control; generalized fuzzy hyperbolic model (GFHM); uncertain nonlinear systems; DYNAMIC SURFACE CONTROL; NEURAL-NETWORK CONTROL; OUTPUT-FEEDBACK; BACKSTEPPING CONTROL; STABILIZATION;
D O I：
10.1109/TFUZZ.2019.2900610
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
An adaptive fuzzy tracking control is investigated for a category of multiple-input multiple-output switched uncertain nonlinear systems in strict-feedback form. The unknown nonlinear function and switching signals with average dwell time are contained in the systems. The control method is designed by generalized fuzzy hyperbolic model and backstepping technique. Through adding a first-order filter into conventional backstepping method, the phenomenon of "explosion of complexity" is eliminated. In the controller design process of each subsystem, only one adaptive parameter is needed to adjust online. Compared with other existing control methods, the proposed control design is more simple and calculated amount is greatly decreased. It is guaranteed that the whole closed-loop system is stable by using Lyapunov function and average dwell-time methods. The effectiveness of the proposed control method can be demonstrated in the simulation part.
引用
收藏
页码：2443 / 2452
页数：10
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