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 Electrical Engineering

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

80 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

All Science Journal Classification (ASJC) codes

Electrical and Electronic Engineering

Access to Document

10.1109/TCSI.2003.811031

Cite this

@article{d643c30a326747ac83a33e875157e32c,

title = "Stability of cellular neural networks with time-varying delay",

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.",

author = "Yu, \{Gwo Jeng\} and Lu, \{Chien Yu\} and Tsai, \{Jason Sheng Hong\} and Liu, \{Bin Da\} and Su, \{Te Jen\}",

year = "2003",

month = may,

doi = "10.1109/TCSI.2003.811031",

language = "English",

volume = "50",

pages = "677--679",

journal = "IEEE Transactions on Circuits and Systems I: Fundamental Theory and Applications",

issn = "1057-7122",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

number = "5",

}

TY - JOUR

T1 - Stability of cellular neural networks with time-varying delay

AU - Yu, Gwo Jeng

AU - Lu, Chien Yu

AU - Tsai, Jason Sheng Hong

AU - Liu, Bin Da

AU - Su, Te Jen

PY - 2003/5

Y1 - 2003/5

N2 - 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.

AB - 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.

UR - https://www.scopus.com/pages/publications/0038236519

UR - https://www.scopus.com/pages/publications/0038236519#tab=citedBy

U2 - 10.1109/TCSI.2003.811031

DO - 10.1109/TCSI.2003.811031

M3 - Article

AN - SCOPUS:0038236519

SN - 1057-7122

VL - 50

SP - 677

EP - 679

JO - IEEE Transactions on Circuits and Systems I: Fundamental Theory and Applications

JF - IEEE Transactions on Circuits and Systems I: Fundamental Theory and Applications

IS - 5

ER -

Stability of cellular neural networks with time-varying delay

Abstract

All Science Journal Classification (ASJC) codes

Access to Document

Other files and links

Fingerprint

Cite this