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Input and output passivity of coupled reaction-diffusion neural networks with impulsive effects

  • Tiangong University

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

Abstract

In this paper, we respectively investigate the input strict passivity and output strict passivity of coupled reaction-diffusion neural networks with impulsive effects. By constructing suitable Lyapunov functional and utilizing some inequality techniques, several input strict passivity and output strict passivity conditions are derived for the coupled reaction-diffusion neural networks with impulsive effects. Finally, an example is given to illustrate the correctness and effectiveness of the proposed results.

Original languageEnglish
Title of host publicationProceedings of the 34th Chinese Control Conference, CCC 2015
EditorsQianchuan Zhao, Shirong Liu
PublisherIEEE Computer Society
Pages3512-3517
Number of pages6
ISBN (Electronic)9789881563897
DOIs
StatePublished - 11 Sep 2015
Externally publishedYes
Event34th Chinese Control Conference, CCC 2015 - Hangzhou, China
Duration: 28 Jul 201530 Jul 2015

Publication series

NameChinese Control Conference, CCC
Volume2015-September
ISSN (Print)1934-1768
ISSN (Electronic)2161-2927

Conference

Conference34th Chinese Control Conference, CCC 2015
Country/TerritoryChina
CityHangzhou
Period28/07/1530/07/15

Keywords

  • Coupled Reaction-Diffusion Neural Networks
  • Impulsive Effects
  • Input Strict Passivity
  • Output Strict Passivity

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