Mittag-Leffler Stability and Attractiveness of Pseudo Almost Periodic Solutions for Delayed Cellular Neural Networks

We consider a class of nonautonomous cellular neural networks (CNNs) with mixed delays, to study the solutions of these systems which are type pseudo almost periodicity. Using general measure theory and the Mittag-Leffler function, we obtain the existence of unique solutions for cellular neural equa...

Full description

Saved in:
Bibliographic Details
Main Authors: Zahra Eidinejad, Reza Saadati, Dušan D. Repovš
Format: Article
Language:English
Published: Wiley 2022-01-01
Series:Journal of Function Spaces
Online Access:http://dx.doi.org/10.1155/2022/3186963
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1832567547095941120
author Zahra Eidinejad
Reza Saadati
Dušan D. Repovš
author_facet Zahra Eidinejad
Reza Saadati
Dušan D. Repovš
author_sort Zahra Eidinejad
collection DOAJ
description We consider a class of nonautonomous cellular neural networks (CNNs) with mixed delays, to study the solutions of these systems which are type pseudo almost periodicity. Using general measure theory and the Mittag-Leffler function, we obtain the existence of unique solutions for cellular neural equations and investigate the Mittag-Leffler stability and attractiveness of pseudo almost periodic functions. We also present numerical examples to illustrate the application of our results.
format Article
id doaj-art-ce08281821fb44ee98d0715339921872
institution Kabale University
issn 2314-8888
language English
publishDate 2022-01-01
publisher Wiley
record_format Article
series Journal of Function Spaces
spelling doaj-art-ce08281821fb44ee98d07153399218722025-02-03T01:01:19ZengWileyJournal of Function Spaces2314-88882022-01-01202210.1155/2022/3186963Mittag-Leffler Stability and Attractiveness of Pseudo Almost Periodic Solutions for Delayed Cellular Neural NetworksZahra Eidinejad0Reza Saadati1Dušan D. Repovš2School of MathematicsSchool of MathematicsFaculty of EducationWe consider a class of nonautonomous cellular neural networks (CNNs) with mixed delays, to study the solutions of these systems which are type pseudo almost periodicity. Using general measure theory and the Mittag-Leffler function, we obtain the existence of unique solutions for cellular neural equations and investigate the Mittag-Leffler stability and attractiveness of pseudo almost periodic functions. We also present numerical examples to illustrate the application of our results.http://dx.doi.org/10.1155/2022/3186963
spellingShingle Zahra Eidinejad
Reza Saadati
Dušan D. Repovš
Mittag-Leffler Stability and Attractiveness of Pseudo Almost Periodic Solutions for Delayed Cellular Neural Networks
Journal of Function Spaces
title Mittag-Leffler Stability and Attractiveness of Pseudo Almost Periodic Solutions for Delayed Cellular Neural Networks
title_full Mittag-Leffler Stability and Attractiveness of Pseudo Almost Periodic Solutions for Delayed Cellular Neural Networks
title_fullStr Mittag-Leffler Stability and Attractiveness of Pseudo Almost Periodic Solutions for Delayed Cellular Neural Networks
title_full_unstemmed Mittag-Leffler Stability and Attractiveness of Pseudo Almost Periodic Solutions for Delayed Cellular Neural Networks
title_short Mittag-Leffler Stability and Attractiveness of Pseudo Almost Periodic Solutions for Delayed Cellular Neural Networks
title_sort mittag leffler stability and attractiveness of pseudo almost periodic solutions for delayed cellular neural networks
url http://dx.doi.org/10.1155/2022/3186963
work_keys_str_mv AT zahraeidinejad mittaglefflerstabilityandattractivenessofpseudoalmostperiodicsolutionsfordelayedcellularneuralnetworks
AT rezasaadati mittaglefflerstabilityandattractivenessofpseudoalmostperiodicsolutionsfordelayedcellularneuralnetworks
AT dusandrepovs mittaglefflerstabilityandattractivenessofpseudoalmostperiodicsolutionsfordelayedcellularneuralnetworks