Synchronization in an array of linearly coupled networks with time-varying delay

This paper studies the dynamics of a system of linearly coupled identical connected neural networks with time-varying delay. Some sufficient conditions for synchronization of such a system are obtained based on Lyapunov functional method and matrix inequality techniques, which can be checked numerically very efficiently by using the Matlab toolbox. Finally, an example is provided to demonstrate the effectiveness of the proposed results.

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Year of publication:	2006
Authors:	Wang, Weiwei ; Cao, Jinde
Published in:	Physica A: Statistical Mechanics and its Applications. - Elsevier, ISSN 0378-4371. - Vol. 366.2006, C, p. 197-211
Publisher:	Elsevier
Subject:	Linearly coupled identical connected neural networks \| Lyapunov functional \| Synchronization \| Time-varying delay \| Matrix inequality \| Neural networks

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Type of publication:	Article
Source:	RePEc - Research Papers in Economics

Persistent link: https://www.econbiz.de/10010590542