Improved Lyapunov function based stability analysis method for fuzzy logic control systems

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

Improved Lyapunov function based stability analysis method for fuzzy logic control systems

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

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

6 Citations (Scopus)

Abstract

Many existing stability analysis methods for fuzzy logic control systems like TS fuzzy model based methods usually tackle plants that are linear with respect to control. This paper proposes an improved method which does not have such restriction. The proposed method employs a Lyapunov function to prove the stability of the non-linear fuzzy logic control system. An illustrative example will be given to demonstrate the ability of the method. The plant in this example has a control signal function composed of piecewise linear functions, saturation functions and a deadband.

Original language	English
Title of host publication	IEEE International Conference on Fuzzy Systems
Publisher	IEEE
Pages	429-434
Number of pages	6
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

Cite this

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title = "Improved Lyapunov function based stability analysis method for fuzzy logic control systems",

abstract = "Many existing stability analysis methods for fuzzy logic control systems like TS fuzzy model based methods usually tackle plants that are linear with respect to control. This paper proposes an improved method which does not have such restriction. The proposed method employs a Lyapunov function to prove the stability of the non-linear fuzzy logic control system. An illustrative example will be given to demonstrate the ability of the method. The plant in this example has a control signal function composed of piecewise linear functions, saturation functions and a deadband.",

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AU - Wong, L. K.

AU - Leung, Hung Fat Frank

AU - Tam, Peter K S

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N2 - Many existing stability analysis methods for fuzzy logic control systems like TS fuzzy model based methods usually tackle plants that are linear with respect to control. This paper proposes an improved method which does not have such restriction. The proposed method employs a Lyapunov function to prove the stability of the non-linear fuzzy logic control system. An illustrative example will be given to demonstrate the ability of the method. The plant in this example has a control signal function composed of piecewise linear functions, saturation functions and a deadband.

AB - Many existing stability analysis methods for fuzzy logic control systems like TS fuzzy model based methods usually tackle plants that are linear with respect to control. This paper proposes an improved method which does not have such restriction. The proposed method employs a Lyapunov function to prove the stability of the non-linear fuzzy logic control system. An illustrative example will be given to demonstrate the ability of the method. The plant in this example has a control signal function composed of piecewise linear functions, saturation functions and a deadband.

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M3 - Conference article published in proceeding or book

SP - 429

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BT - IEEE International Conference on Fuzzy Systems

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T2 - FUZZ-IEEE 2000: 9th IEEE International Conference on Fuzzy Systems

Y2 - 7 May 2000 through 10 May 2000

ER -

Improved Lyapunov function based stability analysis method for fuzzy logic control systems

Abstract

Conference

ASJC Scopus subject areas

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