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Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/1387

Title: An improved Lyapunov function based stability analysis method for fuzzy logic control systems
Authors: Wong, L. K.
Leung, Frank H. F.
Tam, Peter K. S.
Subjects: Lyapunov methods
Mathematical models
Piecewise linear techniques
System stability
Issue Date: 2000
Publisher: IEEE
Citation: FUZZ IEEE 2000 : the ninth IEEE International Conference on Fuzzy Systems : 7-10 May 2000, San Antonio, Texas, p. 429-434.
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.
Rights: © 2000 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.
Type: Conference Paper
URI: http://hdl.handle.net/10397/1387
ISBN: 0-7803-5877-5
Appears in Collections:EIE Conference Papers & Presentations

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