Global exponential stability of hopfield neural networks with impulsive effects

Authors:
Zhichun Yang;Jinan Pei;Daoyi Xu;Yumei Huang;Li Xiang
Affiliations:
College of Mathematics, Sichuan University, Chengdu, China;Department of Math., Chongqing Education College, Chongqing, China;College of Mathematics, Sichuan University, Chengdu, China;College of Mathematics, Sichuan University, Chengdu, China;College of Mathematics, Sichuan University, Chengdu, China
Venue:
ISNN'05 Proceedings of the Second international conference on Advances in Neural Networks - Volume Part I
Year:
2005

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Abstract

A class of Hopfield neural network model involving variable delays and impulsive effects is considered. By applying idea of piecewise continuous vector Lyapunov function, the sufficient conditions ensuring the global exponential stability of impulsive delay neural networks are obtained. The results extend and improve some recent work.