Passivity and synchronization of coupled complex-valued memristive neural networks

Yanli Huang, Jie Hou, Shunyan Ren, Erfu Yang

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

Abstract

The coupled complex-valued memristive neural networks (CCVMNNs) are investigated in this study. First, we analyze the passivity of the proposed network model by designing an appropriate controller and using certain inequalities as well as Lyapunov functional method, and provide a passivity condition for the considered CCVMNNs. In addition, a criterion for guaranteeing synchronization of this kind of network is established. Finally, the effectiveness and correctness of the acquired theoretical results are verified by a numerical example.

Original languageEnglish
Title of host publication2019 IEEE Symposium Series on Computational Intelligence
Place of PublicationPiscataway, NJ
PublisherIEEE
Pages2152-2159
Number of pages8
ISBN (Electronic)9781728124858
ISBN (Print)9781728124858
DOIs
Publication statusPublished - 20 Feb 2020
Event2019 IEEE Symposium Series on Computational Intelligence, SSCI 2019 - Xiamen, China
Duration: 6 Dec 20199 Dec 2019

Conference

Conference2019 IEEE Symposium Series on Computational Intelligence, SSCI 2019
CountryChina
CityXiamen
Period6/12/199/12/19

Keywords

  • memristive neural networks
  • passivity
  • state coupling
  • synchronization

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  • Cite this

    Huang, Y., Hou, J., Ren, S., & Yang, E. (2020). Passivity and synchronization of coupled complex-valued memristive neural networks. In 2019 IEEE Symposium Series on Computational Intelligence (pp. 2152-2159). [9002792] IEEE. https://doi.org/10.1109/SSCI44817.2019.9002792