Open Access
2013 Asymptotic Behavior of Switched Stochastic Delayed Cellular Neural Networks via Average Dwell Time Method
Hanfeng Kuang, Jinbo Liu, Xi Chen, Jie Mao, Linjie He
Abstr. Appl. Anal. 2013(SI22): 1-9 (2013). DOI: 10.1155/2013/270791

Abstract

The asymptotic behavior of a class of switched stochastic cellular neural networks (CNNs) with mixed delays (discrete time-varying delays and distributed time-varying delays) is investigated in this paper. Employing the average dwell time approach (ADT), stochastic analysis technology, and linear matrix inequalities technique (LMI), some novel sufficient conditions on the issue of asymptotic behavior (the mean-square ultimate boundedness, the existence of an attractor, and the mean-square exponential stability) are established. A numerical example is provided to illustrate the effectiveness of the proposed results.

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Hanfeng Kuang. Jinbo Liu. Xi Chen. Jie Mao. Linjie He. "Asymptotic Behavior of Switched Stochastic Delayed Cellular Neural Networks via Average Dwell Time Method." Abstr. Appl. Anal. 2013 (SI22) 1 - 9, 2013. https://doi.org/10.1155/2013/270791

Information

Published: 2013
First available in Project Euclid: 26 February 2014

zbMATH: 1271.93140
MathSciNet: MR3049421
Digital Object Identifier: 10.1155/2013/270791

Rights: Copyright © 2013 Hindawi

Vol.2013 • No. SI22 • 2013
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