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

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 b...

Full description

Saved in:
Bibliographic Details
Published inInternational journal of approximate reasoning Vol. 26; no. 2; pp. 129 - 144
Main Authors Lam, H.K., Leung, F.H.F., Tam, P.K.S.
Format Journal Article
LanguageEnglish
Published Elsevier Inc 01.02.2001
Subjects
Fuzzy control
Fuzzy plant model
Model reference
Multivariable nonlinear system
Parameter uncertainties
Stability
Fuzzy control
Fuzzy plant model
Stability
Parameter uncertainties
Model reference
Multivariable nonlinear system
Online AccessGet full text
ISSN0888-613X
1873-4731
DOI10.1016/S0888-613X(00)00068-2

Cover

More Information
Summary: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.
Bibliography:ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Feature-1
content type line 23
ISSN:0888-613X
1873-4731
DOI:10.1016/S0888-613X(00)00068-2