Exponential lag synchronization of a class of chaotic delayed neural networks with impulsive effects

The paper studies the exponential lag synchronization of a class of chaotic delayed neural networks with impulsive effects based on the unidirectional linear coupling scheme. Some sufficient conditions are established by the stability analysis of impulsive differential equations. An illustrative example is provided to show the effectiveness and feasibility of the proposed method and results.

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Year of publication:	2007
Authors:	Yang, Yongqing ; Cao, Jinde
Published in:	Physica A: Statistical Mechanics and its Applications. - Elsevier, ISSN 0378-4371. - Vol. 386.2007, 1, p. 492-502
Publisher:	Elsevier
Subject:	Exponential synchronization \| Lag synchronization \| Neural networks \| Impulsive effects \| Chaos

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

Persistent link: https://www.econbiz.de/10010589771