Global exponential stability of Cohen-Grossberg neural networks with distributed delays

Authors:
Bao Tong Cui;Wei Wu
Affiliations:
College of Communication and Control Engineering, Jiangnan University, 1800 Lihu Road, Wuxi, Jiangsu 214122, PR China;College of Communication and Control Engineering, Jiangnan University, 1800 Lihu Road, Wuxi, Jiangsu 214122, PR China
Venue:
Neurocomputing
Year:
2008

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Abstract

In this paper, the globally exponential stability of Cohen-Grossberg neural networks with continuously distributed delays is investigated. New theoretical results are presented in the presence of external stimuli. It is shown that the Cohen-Grossberg neural network is globally exponentially stable, if the absolute value of the input vector exceeds a criterion. Comparison between our results and the previous results admits that our results have an extended application. A numerical example is supplied to illustrate the effectiveness of our approach.