Approach to controller design for a class of fuzzy systems

G. Feng; S. G. Cao; N. W. Rees; C. K. Chak

Approach to controller design for a class of fuzzy systems

G. Feng, S. G. Cao, N. W. Rees, C. K. Chak

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

5 Citations (Scopus)

Abstract

This paper discusses the controller design for a class of fuzzy systems. A new method is developed for the design of fuzzy control systems. The basic idea of this new method is to represent the fuzzy system in a family of local state space models, and then to construct a global controller by considering each local state feedback controller. It is shown that this controller guarantees global stability of the closed loop fuzzy system. The issue of a state observer for the fuzzy system is also addressed. A numerical example is given for demonstration of the performance of the method.

Original language	English
Title of host publication	Australian and New Zealand Conference on Intelligent Information Systems - Proceedings
Pages	229-233
Publication status	Published - 1994
Externally published	Yes
Event	Proceedings of the 2nd Australian and New Zealand Conference on Intelligent Information Systems - Brisbane, Aust Duration: 29 Nov 1994 → 2 Dec 1994

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Conference	Proceedings of the 2nd Australian and New Zealand Conference on Intelligent Information Systems
City	Brisbane, Aust
Period	29/11/94 → 2/12/94

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abstract = "This paper discusses the controller design for a class of fuzzy systems. A new method is developed for the design of fuzzy control systems. The basic idea of this new method is to represent the fuzzy system in a family of local state space models, and then to construct a global controller by considering each local state feedback controller. It is shown that this controller guarantees global stability of the closed loop fuzzy system. The issue of a state observer for the fuzzy system is also addressed. A numerical example is given for demonstration of the performance of the method.",

author = "G. Feng and Cao, {S. G.} and Rees, {N. W.} and Chak, {C. K.}",

year = "1994",

language = "English",

pages = "229--233",

booktitle = "Australian and New Zealand Conference on Intelligent Information Systems - Proceedings",

note = "Proceedings of the 2nd Australian and New Zealand Conference on Intelligent Information Systems ; Conference date: 29-11-1994 Through 02-12-1994",

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AU - Cao, S. G.

AU - Rees, N. W.

AU - Chak, C. K.

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N2 - This paper discusses the controller design for a class of fuzzy systems. A new method is developed for the design of fuzzy control systems. The basic idea of this new method is to represent the fuzzy system in a family of local state space models, and then to construct a global controller by considering each local state feedback controller. It is shown that this controller guarantees global stability of the closed loop fuzzy system. The issue of a state observer for the fuzzy system is also addressed. A numerical example is given for demonstration of the performance of the method.

AB - This paper discusses the controller design for a class of fuzzy systems. A new method is developed for the design of fuzzy control systems. The basic idea of this new method is to represent the fuzzy system in a family of local state space models, and then to construct a global controller by considering each local state feedback controller. It is shown that this controller guarantees global stability of the closed loop fuzzy system. The issue of a state observer for the fuzzy system is also addressed. A numerical example is given for demonstration of the performance of the method.

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UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-0028737911&origin=recordpage

M3 - RGC 32 - Refereed conference paper (with host publication)

SP - 229

EP - 233

BT - Australian and New Zealand Conference on Intelligent Information Systems - Proceedings

T2 - Proceedings of the 2nd Australian and New Zealand Conference on Intelligent Information Systems

Y2 - 29 November 1994 through 2 December 1994

ER -

Approach to controller design for a class of fuzzy systems

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