Relaxed stability issues for T-S fuzzy system: based on a fuzzy quadratic Lyapunov function

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Title:	Relaxed stability issues for T-S fuzzy system: based on a fuzzy quadratic Lyapunov function
Authors:	Juang, Yau-Tarng;Yan, Chung-Lin;Huang, Chih-Peng;黃志鵬
Contributors:	臺北市立大學資訊科學系
Keywords:	T-S fuzzy model;linear matrix inequality (LMI);Lyapunov function;fuzzy quadratic Lyapunov function (FQLF)
Date:	2014
Issue Date:	2019-02-14
Abstract:	Based on a fuzzy quadratic Lyapunov function (FQLF), this paper mainly addresses the stability issues of the T-S fuzzy model. Differentiating from existing results with common quadratic Lyapunov functions (CQLF) and leading to stability criteria restricted to finding a common matrix P, this work is based on the FQLF with multiple Pi and expects to attain some less conservative results. Furthermore, the proposed stability criteria will be directly formulated in terms of strict linear matrix inequalities (LMIs), and they thus can readily be evaluated via current LMI solvers. Numerical examples are given to demonstrate the efficiency and the feasibility of the proposed approach.
Relation:	Journal of Intelligent & Fuzzy Systems，26(2)，P.667-679
Appears in Collections:	[Department of Computer Science] Periodical Articles

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