Utilize este identificador para referenciar este registo: https://hdl.handle.net/1822/85949

TítuloExistence and stability of a periodic solution of a general difference equation with applications to neural networks with a delay in the leakage terms
Autor(es)Bento, António
Oliveira, José J.
Silva, César
Palavras-chaveNonlinear delay difference equation
Exponential stability
Periodic solution
Leakage delay
Neural networks
Data17-Jul-2023
EditoraElsevier 1
RevistaCommunications in Nonlinear Science and Numerical Simulation
CitaçãoBento, A. J. G., Oliveira, J. J., & Silva, C. M. (2023, November). Existence and stability of a periodic solution of a general difference equation with applications to neural networks with a delay in the leakage terms. Communications in Nonlinear Science and Numerical Simulation. Elsevier BV. http://doi.org/10.1016/j.cnsns.2023.107429
Resumo(s)In this paper, a new global exponential stability criterion is obtained for a general multidimensional delay difference equation using induction arguments. In the cases that the difference equation is periodic, we prove the existence of a periodic solution by constructing a type of Poincar\'e map. The results are used to obtain stability criteria for a general discrete-time neural network model with a delay in the leakage terms. As particular cases, we obtain new stability criteria for neural network models recently studied in the literature, in particular for low-order and high-order Hopfield and Bidirectional Associative Memory(BAM).
TipoArtigo
URIhttps://hdl.handle.net/1822/85949
DOI10.1016/j.cnsns.2023.107429
ISSN1007-5704
e-ISSN1878-7274
Versão da editorahttps://www.sciencedirect.com/science/article/pii/S1007570423003477
Arbitragem científicayes
AcessoAcesso embargado (2 Anos)
Aparece nas coleções:CMAT - Artigos em revistas com arbitragem / Papers in peer review journals

Ficheiros deste registo:
Ficheiro Descrição TamanhoFormato 
manuscriptR1.pdf
  Até 2025-07-17
1,33 MBAdobe PDFVer/Abrir

Este trabalho está licenciado sob uma Licença Creative Commons Creative Commons

Partilhe no FacebookPartilhe no TwitterPartilhe no DeliciousPartilhe no LinkedInPartilhe no DiggAdicionar ao Google BookmarksPartilhe no MySpacePartilhe no Orkut
Exporte no formato BibTex mendeley Exporte no formato Endnote Adicione ao seu ORCID