Global robust stability for stochastic interval neural networks with continuously distributed delays of neutral type

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	Global robust stability for stochastic interval neural networks with continuously distributed delays of neutral type
	Li, Xiaodi ; Li XD(李晓迪)
刊名	http://dx.doi.org/10.1016/j.amc.2009.12.068
	2010-02-15
关键词	TIME-VARYING DELAYS BIDIRECTIONAL ASSOCIATIVE MEMORY EXPONENTIAL STABILITY ASYMPTOTIC STABILITY DISCRETE PERTURBATION SYNCHRONIZATION CRITERIA SYSTEMS
英文摘要	In this paper, by using the Lyapunov-Krasovskii functional method, we investigate the global robust stability for stochastic interval neural networks with continuously distributed delays of neutral type. Some new stability criteria are presented in terms of linear matrix inequality (LMI). Two numerical examples are also given to show the effectiveness of the obtained results using LMI control toolbox in MATLAB. (C) 2010 Elsevier Inc. All rights reserved.
语种	英语
出版者	APPL MATH COMPUT
内容类型	期刊论文
源URL	[http://dspace.xmu.edu.cn/handle/2288/91025]
专题	数学科学－已发表论文
推荐引用方式 GB/T 7714	Li, Xiaodi,Li XD. Global robust stability for stochastic interval neural networks with continuously distributed delays of neutral type[J]. http://dx.doi.org/10.1016/j.amc.2009.12.068,2010.
APA	Li, Xiaodi,&李晓迪.(2010).Global robust stability for stochastic interval neural networks with continuously distributed delays of neutral type.http://dx.doi.org/10.1016/j.amc.2009.12.068.
MLA	Li, Xiaodi,et al."Global robust stability for stochastic interval neural networks with continuously distributed delays of neutral type".http://dx.doi.org/10.1016/j.amc.2009.12.068 (2010).