Literature DB >> 33878659

Exponential quasi-synchronization of coupled delayed memristive neural networks via intermittent event-triggered control.

Jiejie Chen1, Boshan Chen2, Zhigang Zeng3.   

Abstract

Firstly, an intermittent event-triggered control (IETC), as a combination of intermittent control and event-triggered control, is proposed. Then, the quasi-synchronization problem of coupled memristive neural networks with time-varying delays (CDMNN) is discussed under this IETC. To include more of the existing work, aperiodic intermittent control and event-triggered control with combined measurement errors are adopted in the IETC. Under the IETC, it is shown that Zeno behavior cannot be exhibited for CDMNN. At the same time, two new differential inequalities are established, and some simple and practical criteria for CDMNN quasi-synchronization and synchronization are obtained by using these inequalities. In the obtained results, synchronization is a spatial case of quasi-synchronization, and the activation functions of DMNN do not need to be bounded. Finally, a numerical example and some simulations are provided to test the results in theoretical analysis.
Copyright © 2021. Published by Elsevier Ltd.

Entities:  

Keywords:  Coupled memristive neural networks; Exponential synchronization; Intermittent event-triggered control; Quasi-synchronization

Year:  2021        PMID: 33878659     DOI: 10.1016/j.neunet.2021.01.013

Source DB:  PubMed          Journal:  Neural Netw        ISSN: 0893-6080


  1 in total

1.  Predefined-Time Stability/Synchronization of Coupled Memristive Neural Networks With Multi-Links and Application in Secure Communication.

Authors:  Hui Zhao; Aidi Liu; Qingjié Wang; Mingwen Zheng; Chuan Chen; Sijie Niu; Lixiang Li
Journal:  Front Neurorobot       Date:  2021-12-24       Impact factor: 2.650

  1 in total

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