Adaptive fuzzy tracking control for a class of perturbed strict-feedback nonlinear time-delay systems

被引：180

作者：

Wang, Min ^{[1
]}

Chen, Bing ^{[1
]}

Liu, Xiaoping ^{[2
]}

Shi, Peng ^{[3
]}

机构：

[1] Qingdao Univ, Inst Complex Sci, Qingdao 266071, Peoples R China

[2] Lakehead Univ, Dept Elect Engn, Thunder Bay, ON P7B 5E1, Canada

[3] Univ Glamorgan, Sch Technol, Pontypridd CF37 1DL, M Glam, Wales

来源：

FUZZY SETS AND SYSTEMS | 2008年 / 159卷 / 08期

基金：

中国国家自然科学基金;

关键词：

nonlinear time-delay systems; fuzzy control; adaptive control; backstepping;

D O I：

10.1016/j.fss.2007.12.022

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

This paper is concerned with the problem of adaptive fuzzy output tracking for a class of perturbed strict-feedback nonlinear systems with time delays and unknown virtual control coefficients. Fuzzy logic systems in Mamdani type are used to approximate the unknown nonlinear functions, then the adaptive fuzzy tracking controller is designed by using the backstepping technique and Lyapunov-Krasovskii functionals. The proposed adaptive fuzzy controller guarantees that all the signals in the closed-loop system are bounded and the system output eventually converges to a small neighborhood of the desired reference signal. An advantage of the proposed control scheme lies in that the number of the online adaptive parameters is not more than the order of the original system. Finally, two examples are used to demonstrate the effectiveness of our results proposed in this paper. (C) 2007 Elsevier B.V. All rights reserved.

引用

页码：949 / 967

页数：19

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