Existence and attractivity of periodic solutions to non-autonomous Cohen-Grossberg neural networks with time delays

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題名:	Existence and attractivity of periodic solutions to non-autonomous Cohen-Grossberg neural networks with time delays
作者:	Li,CH;Yang,SY
貢獻者:	數學研究所
關鍵詞:	GLOBAL EXPONENTIAL STABILITY;HARMLESS DELAYS;ASYMPTOTIC STABILITY;DYNAMIC-ANALYSIS;MULTIPLE DELAYS
日期:	2009
上傳時間:	2010-06-29 19:38:36 (UTC+8)
出版者:	中央大學
摘要:	In this paper, we investigate the existence and attractivity of periodic solutions to non-autonomous Cohen-Grossberg neural networks with connection time delays for both discrete and distributed cases. By combining the Lyapunov functional method with the contraction mapping principle, we establish several criteria for the existence and global exponential stability of periodic solutions. More interestingly, all the criteria are independent of time delays as well as the delay types, and do not include one another. Several examples with numerical simulations are given to demonstrate the results. (C) 2008 Elsevier Ltd. All rights reserved.
關聯:	CHAOS SOLITONS & FRACTALS
顯示於類別:	[數學研究所] 期刊論文

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