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	State estimation of T–S fuzzy delayed neural networks with Markovian jumping parameters using sampled-data control (EI收录SCI收录)
	Syed Ali, M.[1]; Gunasekaran, N.[1]; Zhu, Quanxin[2,3]
刊名	Fuzzy Sets and Systems
	2017
卷号	306页码:87-104
关键词	Fuzzy inference Fuzzy logic Linear matrix inequalities Lyapunov functions Lyapunov methods Matrix algebra Neural networks Parameter estimation Robustness (control systems) Stability criteria State estimation Three term control systems Time delay Time varying control systems Time varying networks
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/2187795
专题	华南理工大学
作者单位	1.[1] Department of Mathematics, Thiruvalluvar University, Vellore 2.Tamil Nadu 3.632115, India 4.[2] School of Mathematical Sciences, Institute of Finance and Statistics, Nanjing Normal University, Nanjing 5.210023, China 6.[3] Department of Mathematics, University of Bielefeld, Bielefeld 7.D-33615, Germany
推荐引用方式 GB/T 7714	Syed Ali, M.[1],Gunasekaran, N.[1],Zhu, Quanxin[2,3]. State estimation of T–S fuzzy delayed neural networks with Markovian jumping parameters using sampled-data control (EI收录SCI收录)[J]. Fuzzy Sets and Systems,2017,306:87-104.
APA	Syed Ali, M.[1],Gunasekaran, N.[1],&Zhu, Quanxin[2,3].(2017).State estimation of T–S fuzzy delayed neural networks with Markovian jumping parameters using sampled-data control (EI收录SCI收录).Fuzzy Sets and Systems,306,87-104.
MLA	Syed Ali, M.[1],et al."State estimation of T–S fuzzy delayed neural networks with Markovian jumping parameters using sampled-data control (EI收录SCI收录)".Fuzzy Sets and Systems 306(2017):87-104.

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