Finite-time modified projective synchronization of memristor-based neural network with multi-links and leakage delay
文献类型： 外文期刊
作者： Qin, Xiaoli 1 ; Wang, Cong 1 ; Li, Lixiang 4 ; Peng, Haipeng 4 ; Yang, Yixian 4 ; Ye, Lu 2 ;
作者机构： 1.Beijing Univ Posts & Telecommun, Sch Software, Beijing 100876, Peoples R China
2.Chinese Acad Trop Agr Sci, Inst Sci & Tech Informat, Haikou 571101, Hainan, Peoples R China
3.Beijing Univ Posts & Telecommun, Minist Educ, Key Lab Trustworthy Distributed Comp & Serv, Beijing 100876, Peoples R China
4.Beijing Univ Posts & Telecommun, Natl Engn Lab Disaster Backup & Recovery, Beijing 100876, Peoples R China
关键词： Memristor-based neural networks with multi-links (MNNLs); Leakage delay; Finite-time synchronization; Modified projective synchronization
期刊名称：CHAOS SOLITONS & FRACTALS （ 影响因子：5.944； 五年影响因子：4.415 ）
ISSN： 0960-0779
年卷期： 2018 年 116 卷
页码：
收录情况： SCI
摘要： This paper investigates the finite-time modified projective synchronization problem of memristor-based neural networks with multi-links (MNNLs). And leakage and discrete time-varying delays (mixed delays) are considered in the MNNLs model. By designing a delay-dependent controller and an adaptive controller, the drive-response systems can reach finite-time modified projective synchronization with arbitrary constants. Based on two kinds of finite-time stability theories and some differential inequalities, several finite-time modified projective synchronization criteria are obtained with the Lyapunov stability method. Besides, several corollaries about the special cases of finite-time modified projective synchronization are given along with the proposed theorems. At last, three numerical simulations are given to illustrate the effectiveness and verify the correctness of our results. (C) 2018 Elsevier Ltd. All rights reserved.
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