Global asymptotic stability to a generalized Cohen-Grossberg BAM neural networks of neutral type delays
type: Item
instance of: scholarly article
title: Global asymptotic stability to a generalized Cohen-Grossberg BAM neural networks of neutral type delays
zbMATH Open document ID: 1266.34124
author: Zhengqiu Zhang
author: Wenbin Liu
author: Dong-Ming Zhou
published in: Neural Networks
publication date: 2013-03-15T00:00:00Z
review text: A generalized Cohen-Grossberg BAM neural network with delays of neutral type is studied. First, the authors prove existence and uniqueness of an equilibrium point for such network by means of homeomorphism theory and inequality technique. Global asymptotic stability of the unique equilibrium point is obtained by means of a Lyapunov functional. An example is provided in order to illustrate the theoretical results.
reviewed by: Angela Slavova
Mathematics Subject Classification ID: 34K20
Mathematics Subject Classification ID: 92B20
Mathematics Subject Classification ID: 34K25
zbMATH DE Number: 6145247
zbMATH Keywords: generalized Cohen-Grossberg BAM neural networks
zbMATH Keywords: neutral type
zbMATH Keywords: global asymptotic stability
zbMATH Keywords: inequality technique
zbMATH Keywords: homeomorphism theory
zbMATH Keywords: Lyapunov functional
MaRDI profile type: Publication
full work available at URL: j.neunet.2011.07.006
OpenAlex ID: W2057482994
Wikidata QID: Q51538803
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DBLP publication ID: journals/nn/ZhangLZ12
DOI: 10.1016/J.NEUNET.2011.07.006
description: scientific article; zbMATH DE number 6145247