Synchronization for a class of proportional caputo fractional-order neural networks

• Autorzy: Nagy Abdelhameed Mohamed , Makhlouf Abdellatif Ben , Alsenafi Abdulaziz , Alazemi Fares

Identyfikatory

DOI

10.17512/jamcm.2024.4.07

• Języki publikacji: EN

Abstrakty

EN

Synchronization of fractional order systems has gained great interest in various research activities in recent years. The aim of this study is to investigate the synchronization of a class of neural network systems with respect to the proportional Caputo fractional order derivative. Using the generalized Gronwall inequality, a sufficient condition that possesses the exponential convergence rate, presents and demonstrates that the error of the proposed system converges to zero. Two illustrative numerical examples are provided to show the applicability and validity of the obtained theoretical results.

Słowa kluczowe

EN

synchronization; generalized Gronwall inequality; neural networks

PL

synchronizacja; uogólniona nierówność Gronwalla; sieci neuronowe

• Wydawca: Wydawnictwo Politechniki Częstochowskiej
• Czasopismo: Journal of Applied Mathematics and Computational Mechanics
• Rocznik: 2024
• Tom: Vol. 23, nr 4
• Strony: 76--88
• Opis fizyczny: Bibliogr. 26 poz., rys.

Twórcy

autor

Nagy Abdelhameed Mohamed

• Department of Mathematics, College of Science, Kuwait University, Safat, Kuwait
• Department of Mathematics, Faculty of Science, Benha University, Benha, Egypt

autor

Makhlouf Abdellatif Ben

• Department of Mathematics, Faculty of Sciences of Sfax, University of Sfax, Sfax, Tunisia

autor

Alsenafi Abdulaziz

• Department of Mathematics, College of Science, Kuwait University, Safat, Kuwait

autor

Alazemi Fares

• Department of Mathematics, College of Science, Kuwait University, Safat, Kuwait

Bibliografia

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Uwagi

Opracowanie rekordu ze środków MNiSW, umowa nr POPUL/SP/0154/2024/02 w ramach programu "Społeczna odpowiedzialność nauki II" - moduł: Popularyzacja nauki (2025).