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Synchronization of coupled neural networks with reaction-diffusion terms and switching topology

  • Bei Bei Xu
  • , Yan Li Huang*
  • , Jin Liang Wang
  • , Pu Chong Wei
  • , Shun Yan Ren
  • *Corresponding author for this work
  • Tiangong University

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

Abstract

This paper investigates the synchronization of linearly coupled reaction-diffusion neural networks (CRDNNs) with switching topology. By constructing appropriate Lyapunov functionals, several sufficient conditions are derived in the form of LMIs to guarantee synchronization of the proposed network models. Finally, a numerical example is given to demonstrate the correctness and effectiveness of the theoretical results.

Original languageEnglish
Title of host publicationProceedings of the 28th Chinese Control and Decision Conference, CCDC 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages5927-5932
Number of pages6
ISBN (Electronic)9781467397148
DOIs
StatePublished - 3 Aug 2016
Externally publishedYes
Event28th Chinese Control and Decision Conference, CCDC 2016 - Yinchuan, China
Duration: 28 May 201630 May 2016

Publication series

NameProceedings of the 28th Chinese Control and Decision Conference, CCDC 2016

Conference

Conference28th Chinese Control and Decision Conference, CCDC 2016
Country/TerritoryChina
CityYinchuan
Period28/05/1630/05/16

Keywords

  • Coupled Neural Networks
  • Reaction-Diffusion Terms
  • Switching Topology
  • Synchronization

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