Exponential stability of periodic solutions for cellular neural networks with S-type distributed delays

In this paper, cellular neural networks with variable coefficients and S-type distributed delays are considered. Sufficient conditions for the existence and exponential stability of the periodic solutions are established by using the coincidence degree theorem and differential inequality technique.

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Bibliographic Details
Main Author: Shuping Bao
Format: Conference Proceeding
Language:English
Subjects:
Cellular neural networks
Coincidence degree theory
Distributed delays
Exponential stability
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Description
Summary:In this paper, cellular neural networks with variable coefficients and S-type distributed delays are considered. Sufficient conditions for the existence and exponential stability of the periodic solutions are established by using the coincidence degree theorem and differential inequality technique.
ISSN:1948-9439
1948-9447
DOI:10.1109/CCDC.2008.4597856