Synchronization in delayed Cohen-Grossberg neural networks with bounded external inputs

Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/27963

Title:	Synchronization in delayed Cohen-Grossberg neural networks with bounded external inputs
Authors:	Li,CH;Yang,SY
Contributors:	數學研究所
Keywords:	HINDMARSH-ROSE NEURONS;EXPONENTIAL STABILITY;CHAOTIC SYNCHRONIZATION;DYNAMICAL-SYSTEMS;HARMLESS DELAYS;OSCILLATORS;GRAPH
Date:	2009
Issue Date:	2010-06-29 19:39:02 (UTC+8)
Publisher:	中央大學
Abstract:	In this paper, we study the drive-response-type synchronization in the delayed Cohen-Grossberg neural networks with bounded external inputs. The connection time delays between neurons can be of discrete or distributed form. By using the Lyapunov functional method, we establish three criteria all independent of the time delays for ensuring the occurrence of synchronization with exponential rates. Generally speaking, we prove that the exponential synchronization occurs provided some certain weighted sum of the connection and coupling strengths with other system parameters is positive enough no matter that the connection time delay is of discrete or distributed form. Our criteria improve and extend some existing ones. Furthermore, several concrete examples are provided to show that the three criteria do not include one another. Numerical simulations are also given to demonstrate the theoretical results.
Relation:	IMA JOURNAL OF APPLIED MATHEMATICS
Appears in Collections:	[Graduate Institute of Mathematics] journal & Dissertation

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