Direct adaptive fuzzy control for nonlinear systems with time-varying delays

被引：144

作者：

Chen, Bing ^{[1
]}

Liu, Xiaoping ^{[2
]}

Liu, Kefu ^{[2
]}

Shi, Peng ^{[3
]}

Lin, Chong ^{[1
]}

机构：

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

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

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

来源：

INFORMATION SCIENCES | 2010年 / 180卷 / 05期

基金：

中国国家自然科学基金;

关键词：

Nonlinear systems; Adaptive fuzzy control; Time-delay; Razumikhin functional; Output tracking; TRACKING CONTROL; FEEDBACK-CONTROL; NEURAL-NETWORK; DESIGN; STABILITY; STABILIZATION;

D O I：

10.1016/j.ins.2009.11.004

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 the problem of direct adaptive fuzzy control for nonlinear strict-feedback systems with time-varying delays. Based on the Razumikhin function approach, a novel adaptive fuzzy controller is designed. The proposed controller guarantees that the system output converges to a small neighborhood of the reference signal and all the signals in the closed-loop system remain bounded. Different from the existing adaptive fuzzy control methodology, the fuzzy logic systems are used to model the desired but unknown control signals rather than the unknown nonlinear functions in the systems. As a result, the proposed adaptive controller has a simpler form and requires fewer adaptation parameters. (C) 2009 Elsevier Inc. All rights reserved.

引用

页码：776 / 792

页数：17

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