Global asymptotic stability for cellular neural networks with discrete and distributed time-varying delays

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Title:	Global asymptotic stability for cellular neural networks with discrete and distributed time-varying delays
Authors:	連長華;Lien, Chang-Hua;鍾隆宇;Chung, Long-Yeu;(東方技術學院電機工程系)
Date:	2007-11
Issue Date:	2009-10-14 10:29:49 (UTC+8)
Abstract:	The global asymptotic stability for a class of uncertain delayed cellular neural networks (DCNN) with discrete and distributed time-varying delays is considered in this paper. Delay-dependent criteria are proposed to guarantee the robust stability of DCNN via LMI approach. A numerical example is illustrated to show the effectiveness of our results.
Relation:	Chaos, Solitons & Fractals, Vol.34 no.4, pp.1213-1219
Appears in Collections:	[Department of Electrical Engineering] journal

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