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Pinning Synchronization of Memristor-based Neural Networks with Time-varying Delays
Oct 21, 2017Author:
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Title: Pinning Synchronization of Memristor-based Neural Networks with Time-varying Delays

 Authors: Yang, ZY; Luo, B; Liu, DR; Li, YH

 Author Full Names: Yang, Zhanyu; Luo, Biao; Liu, Derong; Li, Yueheng

 Source: NEURAL NETWORKS, 93 143-151; 10.1016/j.neunet.2017.05.003 SEP 2017

 Language: English

 Abstract: In 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.

 ISSN: 0893-6080

 eISSN: 1879-2782

 IDS Number: FC4BW

 Unique ID: WOS:000406784500013

 PubMed ID: 28582671

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