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
Source: 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.
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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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