A new sufficient condition for complete stability of cellular neural networks with delay

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99 Citations (Scopus)

Abstract

This paper gives a new sufficient condition for cellular neural networks with delay (DCNN's) to be completely stable. A fixed-point theorem and a convergence theorem of the Gauss-Seidel method play important roles in the proof, while most conventional stability criteria were obtained by constructing Lyapunov functionals.

Original languageEnglish
Pages (from-to)793-799
Number of pages7
JournalIEEE Transactions on Circuits and Systems I: Fundamental Theory and Applications
Volume47
Issue number6
DOIs
Publication statusPublished - Jun 1 2000
Externally publishedYes

Keywords

  • Cellular neural networks
  • Complete stability
  • Delay
  • Gauss-seidel method

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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