Global exponential stability of cellular neural networks with mixed delays and impulses
type: Item
instance of: scholarly article
title: Global exponential stability of cellular neural networks with mixed delays and impulses
zbMATH Open document ID: 1137.34358
author: Wanmin Xiong
author: Qiyuan Zhou
author: Bing Xiao
author: Yuehua Yu
published in: Chaos, Solitons and Fractals
publication date: 2008-02-22T00:00:00Z
review text: A class of cellular neural networks with mixed delays and impulses is studied. The authors prove some sufficient conditions for the existence and global exponential stability of the equilibrium point. They apply in the proofs a fixed point theorem and differential inequality technique. One example is presented as well.
reviewed by: Angela Slavova
Mathematics Subject Classification ID: 34K20
Mathematics Subject Classification ID: 34K45
Mathematics Subject Classification ID: 92B20
Mathematics Subject Classification ID: 34K60
zbMATH DE Number: 5238677
MaRDI profile type: Publication
full work available at URL: j.chaos.2006.03.091
OpenAlex ID: W2093793238
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DOI: 10.1016/J.CHAOS.2006.03.091
description: scientific article