Fuzzy control of a class of multivariable nonlinear systems subject to parameter uncertainties: model reference approach

被引：30

作者：

Lam, HK ^{[1
]}

Leung, FHF ^{[1
]}

Tam, PKS ^{[1
]}

机构：

[1] Hong Kong Polytech Univ, Dept Elect & Informat Engn, Kowloon, Hong Kong, Peoples R China

来源：

INTERNATIONAL JOURNAL OF APPROXIMATE REASONING | 2001年 / 26卷 / 02期

关键词：

fuzzy control; fuzzy plant model; model reference; multivariable nonlinear system; parameter uncertainties; stability;

D O I：

10.1016/S0888-613X(00)00068-2

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper presents the fuzzy control of a class of multivariable nonlinear systems subject to parameter uncertainties. The nonlinear plant tackled in this paper is an nth-order nonlinear system with n inputs. If the input matrix B inside the fuzzy plant model is invertible, a fuzzy controller can be designed such that the states of the closed-loop system will follow those of a user-defined stable reference model despite the presence of parameter uncertainties. A numerical example will be given to show the design procedures and the merits of the proposed fuzzy controller. (C) 2001 Elsevier Science Inc. All rights reserved.

引用

页码：129 / 144

页数：16

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