Adaptive Synchronization of Delayed Memristive Neural Networks With Unknown Parameters

doi:10.1109/TSMC.2017.2778092

	Adaptive Synchronization of Delayed Memristive Neural Networks With Unknown Parameters
	Yang, Zhanyu1 ; Luo, Biao2 ; Liu, Derong 3; Li, Yueheng 1
发表期刊	IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
ISSN	2168-2216
	2020-02-01
卷号	50 期号:2 页码:539-549
通讯作者	Luo, Biao(biao.luo@hotmail.com)
摘要	In this paper, the drive-response synchronization of the delayed memristive neural networks (MNNs) with unknown parameters is studied. With the realization of practical memristors, more and more researchers start to investigate MNNs, and their synchronization problem has became a hot topic. However, the majority of the existing works are based on the strict condition that the weights of MNNs are known and determined. When the parameters are unknown, the obtained results may be inapplicable. Thus, it is worthwhile to investigate the synchronization problem of the delayed MNNs with unknown parameters. Due to the parameter uncertainties of MNNs, a novel response system and an adaptive control method are proposed under different assumptions. The update laws for weights in the response system and the gains of adaptive controllers are developed to synchronize the proposed response system with the delayed MNNs. Furthermore, the proposed methods can be applied to various cases and the corresponding stability theories are established. Finally, the numerical simulations are conducted to verify the effectiveness of the developed methods.
关键词	Synchronization Biological neural networks Neurons Adaptive systems Multi-layer neural network Memristors Adaptive control delayed memristive neural networks global asymptotic synchronization unknown parameters
DOI	10.1109/TSMC.2017.2778092
关键词[WOS]	EXPONENTIAL SYNCHRONIZATION ; IMPULSIVE CONTROL ; STABILIZATION
收录类别	SCI
语种	英语
资助项目	National Natural Science Foundation of China[61503377] ; National Natural Science Foundation of China[61533017] ; National Natural Science Foundation of China[U1501251] ; National Natural Science Foundation of China[61503377] ; National Natural Science Foundation of China[61533017] ; National Natural Science Foundation of China[U1501251]
项目资助者	National Natural Science Foundation of China
WOS研究方向	Automation & Control Systems ; Computer Science
WOS类目	Automation & Control Systems ; Computer Science, Cybernetics
WOS记录号	WOS:000508423900014
出版者	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
引用统计	被引频次：29[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/173211/29492
专题	复杂系统管理与控制国家重点实验室
通讯作者	Luo, Biao
作者单位	1.Univ Sci & Technol Beijing, Sch Automat & Elect Engn, Beijing 100083, Peoples R China 2.Chinese Acad Sci, Inst Automat, Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China 3.Guangdong Univ Technol, Sch Automat, Guangzhou 510006, Peoples R China
通讯作者单位	中国科学院自动化研究所
推荐引用方式 GB/T 7714	Yang, Zhanyu,Luo, Biao,Liu, Derong,et al. Adaptive Synchronization of Delayed Memristive Neural Networks With Unknown Parameters[J]. IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS,2020,50(2):539-549.
APA	Yang, Zhanyu,Luo, Biao,Liu, Derong,&Li, Yueheng.(2020).Adaptive Synchronization of Delayed Memristive Neural Networks With Unknown Parameters.IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS,50(2),539-549.
MLA	Yang, Zhanyu,et al."Adaptive Synchronization of Delayed Memristive Neural Networks With Unknown Parameters".IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS 50.2(2020):539-549.