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Anti-Synchronization Analysis and Pinning Control of Coupled Neural Networks with Multiple Weights

  • Tiangong University
  • Tianjin Tianhang Wisdom Technology Co. Ltd

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

Abstract

In this paper, the multi-weighted coupled neural networks (MWCNN) models with and without delayed coupling are studied. First, we analyze the anti-synchronization of the proposed network models by using Lyapunov functional method and some inequality techniques, and give some anti-synchronization conditions for MWCNN. In addition, several anti-synchronization criteria are established via the pinning adaptive techniques. Lastly, an example is presented to illustrate the effectiveness and correctness of the results we obtained.

Original languageEnglish
Title of host publication8th Annual IEEE International Conference on Cyber Technology in Automation, Control and Intelligent Systems, CYBER 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages895-900
Number of pages6
ISBN (Electronic)9781538670569
DOIs
StatePublished - 10 Apr 2019
Externally publishedYes
Event8th Annual IEEE International Conference on Cyber Technology in Automation, Control and Intelligent Systems, CYBER 2018 - Tianjin, China
Duration: 19 Jul 201823 Jul 2018

Publication series

Name8th Annual IEEE International Conference on Cyber Technology in Automation, Control and Intelligent Systems, CYBER 2018

Conference

Conference8th Annual IEEE International Conference on Cyber Technology in Automation, Control and Intelligent Systems, CYBER 2018
Country/TerritoryChina
CityTianjin
Period19/07/1823/07/18

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