Stability of cellular neural networks with time-varying delay

Gwo Jeng Yu, Chien Yu Lu, Jason Sheng Hong Tsai, Bin Da Liu, Te Jen Su

Research output: Contribution to journalArticle

78 Citations (Scopus)

Abstract

The stability for cellular neural networks (CNNs) with time-varying delay is introduced by linear-matrix inequality. A sufficient condition related to the global asymptotic stability for delay CNNs is proposed. It is shown that the condition relies on the dependence of the delay. This condition is less restrictive than that given in the literature.

Original languageEnglish
Pages (from-to)677-679
Number of pages3
JournalIEEE Transactions on Circuits and Systems I: Fundamental Theory and Applications
Volume50
Issue number5
DOIs
Publication statusPublished - 2003 May 1

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Cellular neural networks
Asymptotic stability
Linear matrix inequalities

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering

Cite this

Yu, Gwo Jeng ; Lu, Chien Yu ; Tsai, Jason Sheng Hong ; Liu, Bin Da ; Su, Te Jen. / Stability of cellular neural networks with time-varying delay. In: IEEE Transactions on Circuits and Systems I: Fundamental Theory and Applications. 2003 ; Vol. 50, No. 5. pp. 677-679.
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Stability of cellular neural networks with time-varying delay. / Yu, Gwo Jeng; Lu, Chien Yu; Tsai, Jason Sheng Hong; Liu, Bin Da; Su, Te Jen.

In: IEEE Transactions on Circuits and Systems I: Fundamental Theory and Applications, Vol. 50, No. 5, 01.05.2003, p. 677-679.

Research output: Contribution to journalArticle

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