A generalization of some complete stability conditions for cellular neural networks with delay

Norikazu Takahashi, Tetsuo Nishi

Research output: Contribution to journalArticle

4 Citations (Scopus)

Abstract

This paper gives a new sufficient condition for cellular neural networks with delay (DCNNs) to be completely stable. The result is a generalization of two existing stability conditions for DCNNs, and also contains a complete stability condition for standard CNNs as a special case. Our new sufficient condition does not require the uniqueness of equilibrium point of DCNNs and is independent of the length of delay.

Original languageEnglish
Pages (from-to)2044-2051
Number of pages8
JournalIEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
VolumeE85-A
Issue number9
Publication statusPublished - Sep 2002
Externally publishedYes

Fingerprint

Cellular neural networks
Cellular Networks
Stability Condition
Neural Networks
Sufficient Conditions
Equilibrium Point
Uniqueness
Generalization
Standards

Keywords

  • Cellular neural networks
  • Complete stability
  • Delay

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Hardware and Architecture
  • Information Systems

Cite this

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