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Pinning synchronization of memristor-based neural networks with time-varying delays
Yang, Zhanyu1; Luo, Biao2; Liu, Derong3; Li, Yueheng1
Source PublicationNEURAL NETWORKS
2017-09-01
Volume93Issue:Pages:143-151
SubtypeArticle
AbstractIn this paper, the synchronization of memristor-based neural networks with time-varying delays via pinning control is investigated. A novel pinning method is introduced to synchronize two memristor-based neural networks which denote drive system and response system, respectively. The dynamics are studied by theories of differential inclusions and nonsmooth analysis. In addition, some sufficient conditions are derived to guarantee asymptotic synchronization and exponential synchronization of memristor-based neural networks via the presented pinning control. Furthermore, some improvements about the proposed control method are also discussed in this paper. Finally, the effectiveness of the obtained results is demonstrated by numerical simulations. (C) 2017 Elsevier Ltd. All rights reserved.
KeywordMemristor-based Neural Networks Pinning Control Time-varying Delays Exponential Synchronization Asymptotic Synchronization
WOS HeadingsScience & Technology ; Technology ; Life Sciences & Biomedicine
DOI10.1016/j.neunet.2017.05.003
WOS KeywordPERIODICALLY INTERMITTENT CONTROL ; EXPONENTIAL LAG SYNCHRONIZATION ; IMPULSIVE SYNCHRONIZATION ; ADAPTIVE SYNCHRONIZATION ; CHAOTIC SYSTEMS ; SAMPLED-DATA ; FUZZY MODEL ; STABILIZATION ; STABILITY ; CIRCUIT
Indexed BySCI
Language英语
Funding OrganizationNational Natural Science Foundation of China(61533017 ; U1501251 ; 61374105 ; 61503377 ; 61233001)
WOS Research AreaComputer Science ; Neurosciences & Neurology
WOS SubjectComputer Science, Artificial Intelligence ; Neurosciences
WOS IDWOS:000406784500013
Citation statistics
Cited Times:11[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/20714
Collection复杂系统管理与控制国家重点实验室_平行控制
Affiliation1.Univ Sci & Technol Beijing, Sch Automat & Elect Engn, Beijing 100083, Peoples R China
2.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China
3.Guangdong Univ Technol, Sch Automat, Guangzhou 510006, Guangdong, Peoples R China
Recommended Citation
GB/T 7714
Yang, Zhanyu,Luo, Biao,Liu, Derong,et al. Pinning synchronization of memristor-based neural networks with time-varying delays[J]. NEURAL NETWORKS,2017,93(无):143-151.
APA Yang, Zhanyu,Luo, Biao,Liu, Derong,&Li, Yueheng.(2017).Pinning synchronization of memristor-based neural networks with time-varying delays.NEURAL NETWORKS,93(无),143-151.
MLA Yang, Zhanyu,et al."Pinning synchronization of memristor-based neural networks with time-varying delays".NEURAL NETWORKS 93.无(2017):143-151.
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