Global exponential stability of t-s fuzzy neural networks with time-varying delays

Authors:
Chaojin Fu;Zhongsheng Wang
Affiliations:
Department of Mathematics, Hubei Normal University, Huangshi, Hubei, China;Department of Electric Engineering, ZhongYuan Institute of Technology, Zhengzhou, Henan, China
Venue:
ICIC'06 Proceedings of the 2006 international conference on Intelligent Computing - Volume Part I
Year:
2006

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Abstract

This paper investigates the global exponential stability of Takagi-Sugeno Fuzzy cellular neural networks with time-varying delays. Using the reduction to absurdity, a less conservative delay-independent stability criterion is derived to guarantee the exponential stability of Takagi-Sugeno Fuzzy cellular neural networks with time-varying delays. Since our model is more general than some existing works, the results presented in this paper are the improvement and extension of the existed ones.