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

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

Fuzzy control 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: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

Abstract

This paper presents the control of nonlinear systems subject to parameter uncertainties under a fuzzy control approach. The nonlinear plant tackled in this paper is an n-order nonlinear systems with n inputs. A design procedure of fuzzy controller will be provided 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
Title of host publication	IEEE International Conference on Fuzzy Systems
Publisher	IEEE
Pages	1037-1040
Number of pages	4
Publication status	Published - 1 Jan 2000
Event	FUZZ-IEEE 2000: 9th IEEE International Conference on Fuzzy Systems - San Antonio, TX, United States Duration: 7 May 2000 → 10 May 2000

Conference

Conference	FUZZ-IEEE 2000: 9th IEEE International Conference on Fuzzy Systems
Country/Territory	United States
City	San Antonio, TX
Period	7/05/00 → 10/05/00

ASJC Scopus subject areas

Chemical Health and Safety
Software
Safety, Risk, Reliability and Quality

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http://hdl.handle.net/10397/1422

Cite this

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title = "Fuzzy control of multivariable nonlinear systems subject to parameter uncertainties: Model reference approach",

abstract = "This paper presents the control of nonlinear systems subject to parameter uncertainties under a fuzzy control approach. The nonlinear plant tackled in this paper is an n-order nonlinear systems with n inputs. A design procedure of fuzzy controller will be provided 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.",

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Fuzzy control of multivariable nonlinear systems subject to parameter uncertainties: Model reference approach. / Lam, H. K.; Leung, Hung Fat Frank; Tam, P. K S.
IEEE International Conference on Fuzzy Systems. IEEE, 2000. p. 1037-1040.

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

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N2 - This paper presents the control of nonlinear systems subject to parameter uncertainties under a fuzzy control approach. The nonlinear plant tackled in this paper is an n-order nonlinear systems with n inputs. A design procedure of fuzzy controller will be provided 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.

AB - This paper presents the control of nonlinear systems subject to parameter uncertainties under a fuzzy control approach. The nonlinear plant tackled in this paper is an n-order nonlinear systems with n inputs. A design procedure of fuzzy controller will be provided 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.

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Y2 - 7 May 2000 through 10 May 2000

ER -

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

Abstract

Conference

ASJC Scopus subject areas

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