Stability analysis of systems with parameter uncertainties under fuzzy logic control

L. K. Wong; Hung Fat Frank Leung; P. K S Tam

Stability analysis of systems with parameter uncertainties under fuzzy logic control

L. K. Wong, Hung Fat Frank Leung, P. K S Tam

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

2 Citations (Scopus)

Abstract

Systems with parameter uncertainties are difficult to control. We propose a combined controller approach to tackle this problem. This approach involves designs of different controllers for different operation points. Then a fuzzy logic controller (FLC) is used to schedule these controllers according to the plant parameters. This FLC is different from the common FLCs in that plant parameters are used as the input variables in the premises of the fuzzy rules. Hence this FLC can tackle a large parameter change during operation. The resulting FLC will not only display good robustness but also lead to a stable closed-loop system. The stability will be proved by applying a new stability analysis method.

Original language	English
Title of host publication	IEEE International Conference on Fuzzy Systems
Publisher	IEEE
Pages	446-450
Number of pages	5
Publication status	Published - 1 Jan 1998
Event	Proceedings of the 1998 IEEE International Conference on Fuzzy Systems,. Part 2 (of 2) - Anchorage, AK, United States Duration: 4 May 1998 → 9 May 1998

Conference

Conference	Proceedings of the 1998 IEEE International Conference on Fuzzy Systems,. Part 2 (of 2)
Country/Territory	United States
City	Anchorage, AK
Period	4/05/98 → 9/05/98

ASJC Scopus subject areas

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

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http://hdl.handle.net/10397/1401

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title = "Stability analysis of systems with parameter uncertainties under fuzzy logic control",

abstract = "Systems with parameter uncertainties are difficult to control. We propose a combined controller approach to tackle this problem. This approach involves designs of different controllers for different operation points. Then a fuzzy logic controller (FLC) is used to schedule these controllers according to the plant parameters. This FLC is different from the common FLCs in that plant parameters are used as the input variables in the premises of the fuzzy rules. Hence this FLC can tackle a large parameter change during operation. The resulting FLC will not only display good robustness but also lead to a stable closed-loop system. The stability will be proved by applying a new stability analysis method.",

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AU - Leung, Hung Fat Frank

AU - Tam, P. K S

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N2 - Systems with parameter uncertainties are difficult to control. We propose a combined controller approach to tackle this problem. This approach involves designs of different controllers for different operation points. Then a fuzzy logic controller (FLC) is used to schedule these controllers according to the plant parameters. This FLC is different from the common FLCs in that plant parameters are used as the input variables in the premises of the fuzzy rules. Hence this FLC can tackle a large parameter change during operation. The resulting FLC will not only display good robustness but also lead to a stable closed-loop system. The stability will be proved by applying a new stability analysis method.

AB - Systems with parameter uncertainties are difficult to control. We propose a combined controller approach to tackle this problem. This approach involves designs of different controllers for different operation points. Then a fuzzy logic controller (FLC) is used to schedule these controllers according to the plant parameters. This FLC is different from the common FLCs in that plant parameters are used as the input variables in the premises of the fuzzy rules. Hence this FLC can tackle a large parameter change during operation. The resulting FLC will not only display good robustness but also lead to a stable closed-loop system. The stability will be proved by applying a new stability analysis method.

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T2 - Proceedings of the 1998 IEEE International Conference on Fuzzy Systems,. Part 2 (of 2)

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ER -

Stability analysis of systems with parameter uncertainties under fuzzy logic control

Abstract

Conference

ASJC Scopus subject areas

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