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	Exponential mean-square H∞filtering for arbitrarily switched neural networks with missing measurements (EI收录SCI收录)
	Che, Yan[1,2]; Shu, Huisheng[1]; Liu, Yurong[3,4]
刊名	Neurocomputing
	2016
卷号	193页码:227-234
关键词	Delta functions Neural networks Numerical methods Stochastic systems Time delay
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/2195261
专题	华南理工大学
作者单位	1.[1] School of Information Science and Technology, Donghua University, Shanghai, China 2.[2] College of Information Engineering, Putian University, Putian, China 3.[3] Department of Mathematics, Yangzhou University, Yangzhou, China 4.[4] Communication Systems and Networks [CSN] Research Group, Faculty of Engineering, King Abdulaziz University, Jeddah, Saudi Arabia
推荐引用方式 GB/T 7714	Che, Yan[1,2],Shu, Huisheng[1],Liu, Yurong[3,4]. Exponential mean-square H∞filtering for arbitrarily switched neural networks with missing measurements (EI收录SCI收录)[J]. Neurocomputing,2016,193:227-234.
APA	Che, Yan[1,2],Shu, Huisheng[1],&Liu, Yurong[3,4].(2016).Exponential mean-square H∞filtering for arbitrarily switched neural networks with missing measurements (EI收录SCI收录).Neurocomputing,193,227-234.
MLA	Che, Yan[1,2],et al."Exponential mean-square H∞filtering for arbitrarily switched neural networks with missing measurements (EI收录SCI收录)".Neurocomputing 193(2016):227-234.

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