Asymptotic synchronization analysis of fractional-order octonion-valued neural networks with impulsive effects

This paper deals with a class of fractional-order octonion-valued neural networks (FOOVNNs) with impulsive effects. Firstly, although the multiplication of octonion numbers does not satisfy the commutativity and associativity, we don't need to separate an octonion-valued system into eight real-...

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Main Authors: Jin Gao, Lihua Dai
Format: Article
Language:English
Published: AIMS Press 2023-01-01
Series:AIMS Mathematics
Subjects:
Online Access:https://www.aimspress.com/article/doi/10.3934/math.2023102?viewType=HTML
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author Jin Gao
Lihua Dai
author_facet Jin Gao
Lihua Dai
author_sort Jin Gao
collection DOAJ
description This paper deals with a class of fractional-order octonion-valued neural networks (FOOVNNs) with impulsive effects. Firstly, although the multiplication of octonion numbers does not satisfy the commutativity and associativity, we don't need to separate an octonion-valued system into eight real-valued systems. Secondly, by applying the appropriate Lyapunov function, and inequality techniques, we obtain the global asymptotical synchronization of FOOVNNs. Finally, we give two illustrative examples to illustrate the feasibility of the proposed method.
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spelling doaj.art-eca09946e7084c5fa34043271feddef22022-12-22T04:12:04ZengAIMS PressAIMS Mathematics2473-69882023-01-01811975199410.3934/math.2023102Asymptotic synchronization analysis of fractional-order octonion-valued neural networks with impulsive effectsJin Gao0Lihua Dai 11. School of Information, Yunnan Communications Vocational and Technical College, Kunming, Yunnan 650500, China2. School of Mathematics and Statistics, Southwest University, Chongqing 400715, ChinaThis paper deals with a class of fractional-order octonion-valued neural networks (FOOVNNs) with impulsive effects. Firstly, although the multiplication of octonion numbers does not satisfy the commutativity and associativity, we don't need to separate an octonion-valued system into eight real-valued systems. Secondly, by applying the appropriate Lyapunov function, and inequality techniques, we obtain the global asymptotical synchronization of FOOVNNs. Finally, we give two illustrative examples to illustrate the feasibility of the proposed method.https://www.aimspress.com/article/doi/10.3934/math.2023102?viewType=HTMLoctonion algebrasynchronizationfractional-orderneural networksimpulsive effects
spellingShingle Jin Gao
Lihua Dai
Asymptotic synchronization analysis of fractional-order octonion-valued neural networks with impulsive effects
AIMS Mathematics
octonion algebra
synchronization
fractional-order
neural networks
impulsive effects
title Asymptotic synchronization analysis of fractional-order octonion-valued neural networks with impulsive effects
title_full Asymptotic synchronization analysis of fractional-order octonion-valued neural networks with impulsive effects
title_fullStr Asymptotic synchronization analysis of fractional-order octonion-valued neural networks with impulsive effects
title_full_unstemmed Asymptotic synchronization analysis of fractional-order octonion-valued neural networks with impulsive effects
title_short Asymptotic synchronization analysis of fractional-order octonion-valued neural networks with impulsive effects
title_sort asymptotic synchronization analysis of fractional order octonion valued neural networks with impulsive effects
topic octonion algebra
synchronization
fractional-order
neural networks
impulsive effects
url https://www.aimspress.com/article/doi/10.3934/math.2023102?viewType=HTML
work_keys_str_mv AT jingao asymptoticsynchronizationanalysisoffractionalorderoctonionvaluedneuralnetworkswithimpulsiveeffects
AT lihuadai asymptoticsynchronizationanalysisoffractionalorderoctonionvaluedneuralnetworkswithimpulsiveeffects