An improved delay-dependent stability criteria for recurrent neural networks with time-varying delay

  • Zhuo Wang*
  • , Chenghong Wang
  • , Su Song
  • *Corresponding author for this work

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

Abstract

Combining the concept of sampling control with free weight matrix method, two delay-dependent asymptotic stability criteria are presented for the equilibrium point of a class of recurrent neural networks with time varying delay. The obtained results can be suitable for fast or slowly time-varying delayed recurrent neural networks, and larger upper bound of time delay can be admitted. Comparisons are made by a numerical example to show the effectiveness of the obtained results.

Original languageEnglish
Title of host publication2008 IEEE International Symposium on Intelligent Control, ISIC
Pages876-881
Number of pages6
DOIs
StatePublished - 2008
Externally publishedYes
Event2008 IEEE International Symposium on Intelligent Control, ISIC - San Antonio, TX, United States
Duration: 3 Sep 20085 Sep 2008

Publication series

NameIEEE International Symposium on Intelligent Control - Proceedings

Conference

Conference2008 IEEE International Symposium on Intelligent Control, ISIC
Country/TerritoryUnited States
CitySan Antonio, TX
Period3/09/085/09/08

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