Uniform stability analysis of fractional-order BAM neural networks with delays in the leakage terms
type: Item
instance of: scholarly article
title: Uniform stability analysis of fractional-order BAM neural networks with delays in the leakage terms
zbMATH Open document ID: 1470.34205
DOI: 10.1155/2014/261930
author: Xujun Yang
author: Yurong Liu
author: Qiankun Song
author: Zhen Jiang Zhao
published in: Abstract and Applied Analysis
publication date: 2019-02-14T00:00:00Z
review text: Summary: A class of fractional-order BAM neural networks with delays in the leakage terms is considered. By using inequality technique and analysis method, several delay-dependent sufficient conditions are established to ensure the uniform stability of such networks. Moreover, the sufficient conditions guaranteeing the existence, uniqueness, and stability of the equilibrium point are also obtained. In addition, three simulation examples are given to demonstrate the effectiveness of the obtained results.
Mathematics Subject Classification ID: 34K20
Mathematics Subject Classification ID: 34K37
zbMATH DE Number: 7022037
MaRDI profile type: Publication
full work available at URL: https://doi.org/10.1155/2014/261930
OpenAlex ID: W1995414764
Wikidata QID: Q59037229
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description: scientific article; zbMATH DE number 7022037