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	Novel Finite-Time Synchronization Criteria for Inertial Neural Networks With Time Delays via Integral Inequality Method
	Zhengqiu Zhang; Jinde Cao
刊名	IEEE Transactions on Neural Networks and Learning Systems
	2019
卷号	Vol.30 No.5页码:1476-1485
关键词	Synchronization Neural networks Stability criteria Asymptotic stability Delays Delay effects Finite-time stability finite-time synchronization inertial neural networks integral inequality
ISSN号	2162-237X;2162-2388
URL标识	查看原文
公开日期	[db:dc_date_available]
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/4610166
专题	湖南大学
作者单位	1.College of Mathematics and Econometrics, Hunan University, Changsha, China 2.Jiangsu Provincial Key Laboratory of Networked Collective Intelligence and the School of Mathematics, Southeast University, Nanjing, China
推荐引用方式 GB/T 7714	Zhengqiu Zhang,Jinde Cao. Novel Finite-Time Synchronization Criteria for Inertial Neural Networks With Time Delays via Integral Inequality Method[J]. IEEE Transactions on Neural Networks and Learning Systems,2019,Vol.30 No.5:1476-1485.
APA	Zhengqiu Zhang,&Jinde Cao.(2019).Novel Finite-Time Synchronization Criteria for Inertial Neural Networks With Time Delays via Integral Inequality Method.IEEE Transactions on Neural Networks and Learning Systems,Vol.30 No.5,1476-1485.
MLA	Zhengqiu Zhang,et al."Novel Finite-Time Synchronization Criteria for Inertial Neural Networks With Time Delays via Integral Inequality Method".IEEE Transactions on Neural Networks and Learning Systems Vol.30 No.5(2019):1476-1485.

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