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Please use this identifier to cite or link to this item: http://tainguyenso.vnu.edu.vn/jspui/handle/123456789/12140

Title: Periodic solutions and exponential stability for shunting inhibitory cellular neural networks with continuously distributed delays
Authors: Van Hien L.
Loan T.T.
Tuan D.A.
Keywords: Cellular neural networks
Exponential stability
Periodic solutions
Shunting inhibitory
Unbounded delays
Issue Date: 2008
Publisher: Electronic Journal of Differential Equations
Citation: Volume 2008, Issue , Page 1-10
Abstract: In this paper, we consider a class of shunting inhibitory cellular neural networks with continuously distributed delays (SICNNs). The delays are unbounded and the activation function is not assumed to be bounded. Using the continuation theorems of coincidence degree theory, Lyapunov functional method, we obtain new sufficient conditions for the existence and local exponential stability of periodic solutions of (SICNNs). Numerical examples illustrated our results are given. © 2008 Texas State University.
URI: http://tainguyenso.vnu.edu.vn/jspui/handle/123456789/12140
ISSN: 10726691
Appears in Collections:Articles of Universities of Vietnam from Scopus

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