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

doi:10.1109/TCSI.2003.811031

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

Department of Industrial Education and Technology

Research output: Contribution to journal › Article › peer-review

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 language	English
Pages (from-to)	677-679
Number of pages	3
Journal	IEEE Transactions on Circuits and Systems I: Fundamental Theory and Applications
Volume	50
Issue number	5
DOIs	https://doi.org/10.1109/TCSI.2003.811031
Publication status	Published - 2003 May 1

All Science Journal Classification (ASJC) codes

Electrical and Electronic Engineering

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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.",

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