Stability analysis for neural networks with time-varying interval delay

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	Stability analysis for neural networks with time-varying interval delay
	He, Yong ; Liu, G. P.; Rees, D.; Wu, Min
发表期刊	IEEE TRANSACTIONS ON NEURAL NETWORKS
	2007-11-01
卷号	18 期号:6 页码:1850-1854
文章类型	Article
摘要	This letter is concerned with the stability analysis of neural networks (NNs) with time-varying interval delay. The relationship between the time-varying delay and its lower and upper bounds is taken into account when estimating the upper bound of the derivative of Lyapunov functional. As a result, some improved delay/interval-dependent stability criteria for NNs with time-varying interval delay are proposed. Numerical examples are given to demonstrate the effectiveness and the merits of the proposed method.
关键词	Delay/interval-dependent Stability Neural Networks (Nns) Time-varying Interval Delay
WOS标题词	Science & Technology ; Technology
关键词[WOS]	GLOBAL ASYMPTOTIC STABILITY ; LMI-BASED CRITERIA ; ROBUST STABILITY ; EXPONENTIAL STABILITY ; SYSTEMS
收录类别	SCI
语种	英语
WOS研究方向	Computer Science ; Engineering
WOS类目	Computer Science, Artificial Intelligence ; Computer Science, Hardware & Architecture ; Computer Science, Theory & Methods ; Engineering, Electrical & Electronic
WOS记录号	WOS:000250789100025
引用统计	被引频次：293[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/9416
专题	09年以前成果
作者单位	1.Cent S Univ, Sch Informat Sci & Engn, Changsha 410083, Peoples R China 2.Univ Glamorgan, Fac Adv Technol, Pontypridd CF37 1DL, M Glam, Wales 3.Chinese Acad Sci, Lab Complex Syst & Intelligence Sci, Beijing 100080, Peoples R China
推荐引用方式 GB/T 7714	He, Yong,Liu, G. P.,Rees, D.,et al. Stability analysis for neural networks with time-varying interval delay[J]. IEEE TRANSACTIONS ON NEURAL NETWORKS,2007,18(6):1850-1854.
APA	He, Yong,Liu, G. P.,Rees, D.,&Wu, Min.(2007).Stability analysis for neural networks with time-varying interval delay.IEEE TRANSACTIONS ON NEURAL NETWORKS,18(6),1850-1854.
MLA	He, Yong,et al."Stability analysis for neural networks with time-varying interval delay".IEEE TRANSACTIONS ON NEURAL NETWORKS 18.6(2007):1850-1854.