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Abstract

The aims of this research, is to examine the qualitative properties and analysis of synchronization of pseudo almost automorphic in Weyl’s sense solution of delayed Clifford-valued cellular neural networks of type shunting inhibitory on timescales. The results achieved are articulated as follows: the notion of pseudo almost automorphic in Weyl’s sense on timescales is suggested, which is a natural generalization of some recently published papers. The qualitative properties of the solution are realized using appropriate inequalities. Therefore, fixed-time synchronization was realized by considering appropriate feedback and Lyapunov functional. Two numerical examples to prove the merits of key results are presented at the end of this work.

Details

1009240
Title
Synchronization analysis of novel delayed dynamical Clifford-valued neural networks on timescales
Author
Arbi, Adnène 1   VIAFID ORCID Logo  ; Tahri, Najeh 2 

 Laboratory of Engineering Mathematics (LR01ES13), Tunisia Polytechnic School, University of Carthage, Tunisia; National School of Advanced Sciences and Technologies of Borj Cedria, University of Carthage, Tunisia 
 Laboratory of Engineering Mathematics (LR01ES13), Tunisia Polytechnic School, University of Carthage, Tunisia 
Volume
18
Publication year
2024
Publication date
Jan 2024
Publisher
Sage Publications Ltd.
Place of publication
Brentwood
Country of publication
United Kingdom
ISSN
17483018
e-ISSN
17483026
Source type
Scholarly Journal
Language of publication
English
Document type
Journal Article
Publication history
 
 
Online publication date
2024-04-01
Milestone dates
2023-10-12 (Received); 2024-03-08 (Accepted)
Publication history
 
 
   First posting date
01 Apr 2024
ProQuest document ID
3150156596
Document URL
https://www.proquest.com/scholarly-journals/synchronization-analysis-novel-delayed-dynamical/docview/3150156596/se-2?accountid=208611
Copyright
© The Author(s) 2024. This work is licensed under the Creative Commons  Attribution – Non-Commercial License https://creativecommons.org/licenses/by-nc/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
Last updated
2024-12-30
Database
2 databases
  • ProQuest One Academic
  • ProQuest One Academic