(m1,m2)-pseudo almost periodic solutions of Clifford-valued high-order fuzzy cellular neural networks with time delays

This article mainly focuses on exploring the pseudo periodic dynamics of a class of Clifford-valued high-order fuzzy cellular neural networks (FCNNs) using non decomposition methods. By utilizing fixed point theorems, inequality techniques, and contradiction methods, the existence and stability of p...

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Main Authors: Bing Li, Ting Chen, Yongkun Li
Format: Article
Language:English
Published: Elsevier 2025-03-01
Series:Franklin Open
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2773186325000052
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author Bing Li
Ting Chen
Yongkun Li
author_facet Bing Li
Ting Chen
Yongkun Li
author_sort Bing Li
collection DOAJ
description This article mainly focuses on exploring the pseudo periodic dynamics of a class of Clifford-valued high-order fuzzy cellular neural networks (FCNNs) using non decomposition methods. By utilizing fixed point theorems, inequality techniques, and contradiction methods, the existence and stability of pseudo periodic solutions for this type of neural network (NN) were obtained. When the system considered in this article degenerates into a real-valued NN, the results of this article are also new. At the same time, we used numerical examples to confirm the effectiveness of the results presented in this paper.
format Article
id doaj-art-73404b9ea2fd401d8da81f64a872acb6
institution Kabale University
issn 2773-1863
language English
publishDate 2025-03-01
publisher Elsevier
record_format Article
series Franklin Open
spelling doaj-art-73404b9ea2fd401d8da81f64a872acb62025-01-18T05:05:39ZengElsevierFranklin Open2773-18632025-03-0110100215(m1,m2)-pseudo almost periodic solutions of Clifford-valued high-order fuzzy cellular neural networks with time delaysBing Li0Ting Chen1Yongkun Li2School of Mathematics and Computer Science, Yunnan Minzu University, Kunming, Yunnan 650500, ChinaSchool of Mathematics and Computer Science, Yunnan Minzu University, Kunming, Yunnan 650500, ChinaDepartment of Mathematics, Yunnan University, Kunming, Yunnan 650091, China; Corresponding author.This article mainly focuses on exploring the pseudo periodic dynamics of a class of Clifford-valued high-order fuzzy cellular neural networks (FCNNs) using non decomposition methods. By utilizing fixed point theorems, inequality techniques, and contradiction methods, the existence and stability of pseudo periodic solutions for this type of neural network (NN) were obtained. When the system considered in this article degenerates into a real-valued NN, the results of this article are also new. At the same time, we used numerical examples to confirm the effectiveness of the results presented in this paper.http://www.sciencedirect.com/science/article/pii/S2773186325000052Clifford-valued high-order fuzzy cellular neural networks(m1, m2)-pseudo almost periodic solutionTime delayGlobal exponential stability
spellingShingle Bing Li
Ting Chen
Yongkun Li
(m1,m2)-pseudo almost periodic solutions of Clifford-valued high-order fuzzy cellular neural networks with time delays
Franklin Open
Clifford-valued high-order fuzzy cellular neural networks
(m1, m2)-pseudo almost periodic solution
Time delay
Global exponential stability
title (m1,m2)-pseudo almost periodic solutions of Clifford-valued high-order fuzzy cellular neural networks with time delays
title_full (m1,m2)-pseudo almost periodic solutions of Clifford-valued high-order fuzzy cellular neural networks with time delays
title_fullStr (m1,m2)-pseudo almost periodic solutions of Clifford-valued high-order fuzzy cellular neural networks with time delays
title_full_unstemmed (m1,m2)-pseudo almost periodic solutions of Clifford-valued high-order fuzzy cellular neural networks with time delays
title_short (m1,m2)-pseudo almost periodic solutions of Clifford-valued high-order fuzzy cellular neural networks with time delays
title_sort m1 m2 pseudo almost periodic solutions of clifford valued high order fuzzy cellular neural networks with time delays
topic Clifford-valued high-order fuzzy cellular neural networks
(m1, m2)-pseudo almost periodic solution
Time delay
Global exponential stability
url http://www.sciencedirect.com/science/article/pii/S2773186325000052
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AT tingchen m1m2pseudoalmostperiodicsolutionsofcliffordvaluedhighorderfuzzycellularneuralnetworkswithtimedelays
AT yongkunli m1m2pseudoalmostperiodicsolutionsofcliffordvaluedhighorderfuzzycellularneuralnetworkswithtimedelays