Anti-synchronization of Multi-Weighted Coupled Complex-Valued Delayed Memristive Neural Networks with Coupling Delays

  • Limei Su
  • , Yanli Huang*
  • , Jinliang Wang
  • *Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This paper studies anti-synchronization of multi-weighted coupled complex-valued delayed memristive neural networks (MWCCVDMNNs) with coupling delays. We derive a criterion for guaranteeing anti-synchronization of MWCCVDMNNs with coupling delays, by means of Lyapunov functional method and designing an appropriate controller. Moreover, a numerical example is given to verify the correctness of the obtained theoretical result.

Original languageEnglish
Title of host publication2021 International Conference on Neuromorphic Computing, ICNC 2021
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages412-417
Number of pages6
ISBN (Electronic)9781665412872
DOIs
StatePublished - 2021
Externally publishedYes
Event2021 International Conference on Neuromorphic Computing, ICNC 2021 - Wuhan, China
Duration: 15 Oct 202117 Oct 2021

Publication series

Name2021 International Conference on Neuromorphic Computing, ICNC 2021

Conference

Conference2021 International Conference on Neuromorphic Computing, ICNC 2021
Country/TerritoryChina
CityWuhan
Period15/10/2117/10/21

Keywords

  • anti-synchronization
  • complex-valued neural networks
  • delayed memristive neural networks
  • multi-weighted

Fingerprint

Dive into the research topics of 'Anti-synchronization of Multi-Weighted Coupled Complex-Valued Delayed Memristive Neural Networks with Coupling Delays'. Together they form a unique fingerprint.

Cite this