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2013 Synchronization in Array of Coupled Neural Networks with Unbounded Distributed Delay and Limited Transmission Efficiency
Xinsong Yang, Mengzhe Zhou, Jinde Cao
Abstr. Appl. Anal. 2013(SI38): 1-12 (2013). DOI: 10.1155/2013/402031

Abstract

This paper investigates global synchronization in an array of coupled neural networks with time-varying delays and unbounded distributed delays. In the coupled neural networks, limited transmission efficiency between coupled nodes, which makes the model more practical, is considered. Based on a novel integral inequality and the Lyapunov functional method, sufficient synchronization criteria are derived. The derived synchronization criteria are formulated by linear matrix inequalities (LMIs) and can be easily verified by using Matlab LMI Toolbox. It is displayed that, when some of the transmission efficiencies are limited, the dynamics of the synchronized state are different from those of the isolated node. Furthermore, the transmission efficiency and inner coupling matrices between nodes play important roles in the final synchronized state. The derivative of the time-varying delay can be any given value, and the time-varying delay can be unbounded. The outer-coupling matrices can be symmetric or asymmetric. Numerical simulations are finally given to demonstrate the effectiveness of the theoretical results.

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Xinsong Yang. Mengzhe Zhou. Jinde Cao. "Synchronization in Array of Coupled Neural Networks with Unbounded Distributed Delay and Limited Transmission Efficiency." Abstr. Appl. Anal. 2013 (SI38) 1 - 12, 2013. https://doi.org/10.1155/2013/402031

Information

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

zbMATH: 1271.92007
MathSciNet: MR3045056
Digital Object Identifier: 10.1155/2013/402031

Rights: Copyright © 2013 Hindawi

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Vol.2013 • No. SI38 • 2013
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