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Advanced stability analysis of a fractional delay differential system with stochastic phenomena using spectral collocation method.
Xie, Mengqi; Khan, Sami Ullah; Sumelka, Wojciech; Alamri, Atif M; AlQahtani, Salman A.
Afiliação
  • Xie M; Department of Electronic Information Engineering, Xi'an Technological University, Xi'an, 710021, China.
  • Khan SU; Department of Mathematics, City University of Science and Information Technology, Peshawar, KP, 2500, Pakistan. samiullah.khan@cusit.edu.pk.
  • Sumelka W; Institute of Structural Analysis, Poznan University of Technology, Piotrowo 5 Street, 60-965, Poznan, Poland.
  • Alamri AM; Software Engineering Department, College of Computer and Information Sciences, King Saud University, Riyadh, Saudi Arabia.
  • AlQahtani SA; Computer Engineering Department, College of Computer and Information Sciences, King Saud University, Riyadh, Saudi Arabia.
Sci Rep ; 14(1): 12047, 2024 May 27.
Article em En | MEDLINE | ID: mdl-38802447
ABSTRACT
In recent years, there has been a growing interest in incorporating fractional calculus into stochastic delay systems due to its ability to model complex phenomena with uncertainties and memory effects. The fractional stochastic delay differential equations are conventional in modeling such complex dynamical systems around various applied fields. The present study addresses a novel spectral approach to demonstrate the stability behavior and numerical solution of the systems characterized by stochasticity along with fractional derivatives and time delay. By bridging the gap between fractional calculus, stochastic processes, and spectral analysis, this work contributes to the field of fractional dynamics and enriches the toolbox of analytical tools available for investigating the stability of systems with delays and uncertainties. To illustrate the practical implications and validate the theoretical findings of our approach, some numerical simulations are presented.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Sci Rep Ano de publicação: 2024 Tipo de documento: Article País de afiliação: China

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Sci Rep Ano de publicação: 2024 Tipo de documento: Article País de afiliação: China