中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Adaptive Synchronization of Delayed Memristive Neural Networks With Unknown Parameters

文献类型:期刊论文

作者Yang, Zhanyu2; Luo, Biao1; Liu, Derong3; Li, Yueheng2
刊名IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
出版日期2020-02-01
卷号50期号:2页码:539-549
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
ISSN号2168-2216
DOI10.1109/TSMC.2017.2778092
通讯作者Luo, Biao(biao.luo@hotmail.com)
英文摘要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.
WOS关键词EXPONENTIAL SYNCHRONIZATION ; IMPULSIVE CONTROL ; STABILIZATION
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]
WOS研究方向Automation & Control Systems ; Computer Science
语种英语
WOS记录号WOS:000508423900014
出版者IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
资助机构National Natural Science Foundation of China
源URL[http://ir.ia.ac.cn/handle/173211/29491]  
专题自动化研究所_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.Chinese Acad Sci, Inst Automat, Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China
2.Univ Sci & Technol Beijing, Sch Automat & Elect Engn, Beijing 100083, Peoples R China
3.Guangdong Univ Technol, Sch Automat, Guangzhou 510006, Peoples R China
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.

入库方式: OAI收割

来源:自动化研究所

浏览0
下载0
收藏0
其他版本

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。