Anti-Periodic Solutions for Shunting Inhibitory Cellular Neural Networks with Time-Varying Coefficients

Authors:
Changhong Zhao;Qiyi Fan;Wentao Wang
Affiliations:
Department of Mathematics, Hunan University of Arts and Science, Changde, People's Republic of China 415000;Department of Mathematics, Hunan University of Arts and Science, Changde, People's Republic of China 415000;College of Mathematics and Information Science, Jiaxing University, Jiaxing, People's Republic of China 314001
Venue:
Neural Processing Letters
Year:
2010

Citing 3
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Abstract

This paper is concerned with the existence and exponential stability of anti-periodic solutions for shunting inhibitory cellular neural networks (SICNNs) with time-varying coefficients arising from the description of the neurons' state in delayed neural networks. Some new sufficient conditions ensuring the existence and exponential stability of anti-periodic solutions for SICNNs are established.