New methods of finite-time synchronization for a class of fractional-order delayed neural networks
type: Item
instance of: scholarly article
title: New methods of finite-time synchronization for a class of fractional-order delayed neural networks
zbMATH Open document ID: 1426.34069
DOI: 10.1155/2017/1804383
author: Weiwei Zhang
author: Ahmed Alsaedi
author: Jinde Cao
author: Fuad E. Alsaadi
published in: Mathematical Problems in Engineering
publication date: 2018-11-05T00:00:00Z
review text: Summary: Finite-time synchronization for a class of fractional-order delayed neural networks with fractional order \(\alpha, 0 < \alpha \leq 1 / 2\) and \(1 / 2 < \alpha < 1\), is investigated in this paper. Through the use of Hölder inequality, generalized Bernoulli inequality, and inequality skills, two sufficient conditions are considered to ensure synchronization of fractional-order delayed neural networks in a finite-time interval. Numerical example is given to verify the feasibility of the theoretical results.
Mathematics Subject Classification ID: 34D06
Mathematics Subject Classification ID: 34K20
Mathematics Subject Classification ID: 34A08
Mathematics Subject Classification ID: 34K37
Mathematics Subject Classification ID: 92B20
Mathematics Subject Classification ID: 93C15
zbMATH DE Number: 6971798
Wikidata QID: Q59147312
MaRDI profile type: Publication
full work available at URL: https://doi.org/10.1155/2017/1804383
OpenAlex ID: W2622033679
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description: scientific article; zbMATH DE number 6971798