Global exponential stability of non-autonomous neural networks with variable delay

Authors:
Minghui Jiang;Yi Shen;Meiqin Liu
Affiliations:
Department of Control Science and Engineering, Huazhong University of Science and Technology, Wuhan, Hubei, China;Department of Control Science and Engineering, Huazhong University of Science and Technology, Wuhan, Hubei, China;College of Electrical Engineering, Zhejiang University, Hangzhou, 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

The aim of this work is to discuss the exponential stability of the non-autonomous neural networks with delay. By applying the generalized Halanay inequality and Lyapunov second method, several sufficient conditions are obtained ensuring the global exponential stability of the non-autonomous neural networks. Some previous results are improved and extended in this paper. In the end, a example is also given for illustration.