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	H∞state estimation for memristive neural networks with multiple fading measurements (EI收录)
	Yan, Le[1]; Zhang, Sunjie[1]; Ding, Derui[1]; Liu, Yurong[2,3]; Alsaadi, Fuad E.[3]
刊名	Neurocomputing
	2017
卷号	230页码:23-29
关键词	Convex optimization Lyapunov functions Optimization Stochastic systems
URL标识	查看原文
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/2188202
专题	华南理工大学
作者单位	1.[1] Shanghai Key Lab of Modern Optical System, Department of Control Science and Engineering, University of Shanghai for Science and Technology, Shanghai 2.200093, China 3.[2] Department of Mathematics, Yangzhou University, Yangzhou 4.225009, China 5.[3] The Communication Systems and Networks [CSN] Research Group, Faculty of Engineering, King Abdulaziz University, Jeddah 6.21589, Saudi Arabia
推荐引用方式 GB/T 7714	Yan, Le[1],Zhang, Sunjie[1],Ding, Derui[1],等. H∞state estimation for memristive neural networks with multiple fading measurements (EI收录)[J]. Neurocomputing,2017,230:23-29.
APA	Yan, Le[1],Zhang, Sunjie[1],Ding, Derui[1],Liu, Yurong[2,3],&Alsaadi, Fuad E.[3].(2017).H∞state estimation for memristive neural networks with multiple fading measurements (EI收录).Neurocomputing,230,23-29.
MLA	Yan, Le[1],et al."H∞state estimation for memristive neural networks with multiple fading measurements (EI收录)".Neurocomputing 230(2017):23-29.

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