CASIA OpenIR  > 复杂系统管理与控制国家重点实验室  > 平行控制
Robust synchronization of memristive neural networks with strong mismatch characteristics via pinning control
Li, Yueheng1,4; Luo, Biao2; Liu, Derong3; Yang, Zhanyu2
Source PublicationNEUROCOMPUTING
2018-05-10
Volume289Pages:144-154
SubtypeArticle
AbstractThis paper is concerned with robust synchronization problem of memristive neural networks (MNNs) with mismatch characteristics. First, based on theories of set-valued maps and differential inclusions, strong mismatch characteristics including coefficient mismatch and time-varying delay mismatch are simultaneously considered between the drive and response MNNs. Second, pinning control strategy, which can save control cost by adding controllers on partial node, is adopted to guarantee the drive system and the response system can achieve synchronization robustly. Furthermore, the sufficient stability conditions for error system is proved by using Lyapunov functional method. Finally, numerical simulation is presented to verify the effectiveness of the proposed results. (C) 2018 Published by Elsevier B.V.
KeywordMemristive Neural Networks Robust Synchronization Mismatch Characteristics Pinning Control
WOS HeadingsScience & Technology ; Technology
DOI10.1016/j.neucom.2018.02.006
WOS KeywordTIME-VARYING DELAYS ; EXPONENTIAL SYNCHRONIZATION ; COMPLEX NETWORKS ; STATE ESTIMATION ; ELEMENT ; SYSTEMS ; DESIGN ; MODEL
Indexed BySCI
Language英语
Funding OrganizationNational Natural Science Foundation of China(61503377 ; 61533017 ; U1501251 ; 61473002)
WOS Research AreaComputer Science
WOS SubjectComputer Science, Artificial Intelligence
WOS IDWOS:000428123200012
Citation statistics
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/22001
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
4.North China Univ Technol, Coll Elect & Control Engn, Beijing 100144, Peoples R China
Recommended Citation
GB/T 7714
Li, Yueheng,Luo, Biao,Liu, Derong,et al. Robust synchronization of memristive neural networks with strong mismatch characteristics via pinning control[J]. NEUROCOMPUTING,2018,289:144-154.
APA Li, Yueheng,Luo, Biao,Liu, Derong,&Yang, Zhanyu.(2018).Robust synchronization of memristive neural networks with strong mismatch characteristics via pinning control.NEUROCOMPUTING,289,144-154.
MLA Li, Yueheng,et al."Robust synchronization of memristive neural networks with strong mismatch characteristics via pinning control".NEUROCOMPUTING 289(2018):144-154.
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