Robust synchronization of memristive neural networks with strong mismatch characteristics via pinning control

doi:10.1016/j.neucom.2018.02.006

CASIA OpenIR > 多模态人工智能系统全国重点实验室 > 复杂系统智能机理与平行控制团队

	Robust synchronization of memristive neural networks with strong mismatch characteristics via pinning control
	Li, Yueheng 1,4; Luo, Biao2 ; Liu, Derong 3; Yang, Zhanyu2
发表期刊	NEUROCOMPUTING
	2018-05-10
卷号	289 页码:144-154
文章类型	Article
摘要	This 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.
关键词	Memristive Neural Networks Robust Synchronization Mismatch Characteristics Pinning Control
WOS标题词	Science & Technology ; Technology
DOI	10.1016/j.neucom.2018.02.006
关键词[WOS]	TIME-VARYING DELAYS ; EXPONENTIAL SYNCHRONIZATION ; COMPLEX NETWORKS ; STATE ESTIMATION ; ELEMENT ; SYSTEMS ; DESIGN ; MODEL
收录类别	SCI
语种	英语
项目资助者	National Natural Science Foundation of China(61503377 ; 61533017 ; U1501251 ; 61473002)
WOS研究方向	Computer Science
WOS类目	Computer Science, Artificial Intelligence
WOS记录号	WOS:000428123200012
引用统计	被引频次：24[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/173211/22001
专题	多模态人工智能系统全国重点实验室_复杂系统智能机理与平行控制团队
作者单位	1.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
推荐引用方式 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.