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

H. K. Lam; Hung Fat Frank Leung; P. K.S. Tam

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

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

H. K. Lam, Hung Fat Frank Leung, P. K.S. Tam

The Hong Kong Polytechnic University

Research output: Journal article publication › Journal article › Academic research › peer-review

33 Citations (Scopus)

Abstract

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.

Original language	English
Pages (from-to)	129-144
Number of pages	16
Journal	International Journal of Approximate Reasoning
Volume	26
Issue number	2
DOIs	https://doi.org/10.1016/S0888-613X(00)00068-2
Publication status	Published - 1 Jan 2001

ASJC Scopus subject areas

Software
Theoretical Computer Science
Artificial Intelligence
Applied Mathematics

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

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

Abstract

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