Novel delay-dependent robust stability criterion of delayed cellular neural networks

Hyun J. Cho and Ju H. Park

Chaos, Solitons & Fractals, 2007, vol. 32, issue 3, 1194-1200

Abstract: In this paper, we consider the problem of global robust stability for cellular neural networks which have time-varying delay and parametric uncertainties. Using the Lyapunov method and linear matrix inequality (LMI) framework, the delay-dependent criterion is presented in terms of LMIs. Two numerical examples are presented to illustrate the effectiveness of our result.

Date: 2007
References: View complete reference list from CitEc
Citations: View citations in EconPapers (7)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S096007790501146X
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:chsofr:v:32:y:2007:i:3:p:1194-1200

DOI: 10.1016/j.chaos.2005.11.040

Access Statistics for this article

Chaos, Solitons & Fractals is currently edited by Stefano Boccaletti and Stelios Bekiros

More articles in Chaos, Solitons & Fractals from Elsevier
Bibliographic data for series maintained by Thayer, Thomas R. ().