Weighted average synchronization for a class of coupled switched neural networks with time-varying delay

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Abstract

This paper deals with the weighted average synchronization problem for a class of coupled switched neural networks with time-varying delay and nonsymmetrical coupling. Based on Lyapunov-Krasovskii functional method, some sufficient conditions are derived to guarantee the global asymptotical synchronization. It is worth mentioning that the weighted average of all the nodes states in networks is selected as the synchronization state, which involves the contributions and influences of all the nodes in the synchronization process of the concerned networks. Finally, a numerical example is provided to show the effectiveness of the obtained results.

Original languageEnglish
Title of host publicationProceedings of the 35th Chinese Control Conference, CCC 2016
EditorsJie Chen, Qianchuan Zhao, Jie Chen
PublisherIEEE Computer Society
Pages3600-3605
Number of pages6
ISBN (Electronic)9789881563910
DOIs
StatePublished - 26 Aug 2016
Externally publishedYes
Event35th Chinese Control Conference, CCC 2016 - Chengdu, China
Duration: 27 Jul 201629 Jul 2016

Publication series

NameChinese Control Conference, CCC
Volume2016-August
ISSN (Print)1934-1768
ISSN (Electronic)2161-2927

Conference

Conference35th Chinese Control Conference, CCC 2016
Country/TerritoryChina
CityChengdu
Period27/07/1629/07/16

Keywords

  • Coupled Switched Neural Networks
  • Lyapunov-Krasovskii Functional
  • Synchronization
  • Time-Varying Delay

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