Direct adaptive fuzzy control of nonlinear strict-feedback systems

被引：715

作者：

Chen, Bing ^{[1
]}

Liu, Xiaoping ^{[2
]}

Liu, Kefu ^{[2
]}

Lin, Chong ^{[1
]}

机构：

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

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

来源：

AUTOMATICA | 2009年 / 45卷 / 06期

基金：

加拿大自然科学与工程研究理事会;

关键词：

Nonlinear systems; Backstepping; Adaptive fuzzy control; Output tracking; ROBUST BACKSTEPPING CONTROL; OUTPUT-FEEDBACK; NEURAL-NETWORKS; DESIGN; STABILIZATION; PARAMETERIZATION;

D O I：

10.1016/j.automatica.2009.02.025

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper focuses on adaptive fuzzy tracking control for a class of uncertain single-input/single-output nonlinear strict-feedback systems. Fuzzy logic systems are directly used to approximate unknown and desired control signals and a novel direct adaptive fuzzy tracking controller is constructed via backstepping. The proposed adaptive fuzzy controller guarantees that the output of the closed-loop system converges to a small neighborhood of the reference signal and all the signals in the closed-loop system remain bounded. A main advantage of the proposed controller is that it contains only one adaptive parameter that needs to be updated online. Finally, an example is used to show the effectiveness of the proposed approach. (C) 2009 Elsevier Ltd. All rights reserved.

引用

页码：1530 / 1535

页数：6

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