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Research Article | Open Access

Stability analysis of new generalized mean-square stochastic fractional differential equations and their applications in technology

Tahir Ullah Khan1Christine Markarian2Claude Fachkha2( )
Directorate General of Commerce Education and Management Sciences, Higher Education Department, Peshawar, Pakistan
College of Engineering and IT, University of Dubai, UAE
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Abstract

Stability theory has significant applications in technology, especially in control systems. On the other hand, the newly defined generalized mean-square stochastic fractional (GMSF) operators are particularly interesting in control theory and systems due to their various controllable parameters. Thus, the combined study of stability theory and GMSF operators becomes crucial. In this research work, we construct a new class of GMSF differential equations and provide a rigorous proof of the existence of their solutions. Furthermore, we investigate the stability of these solutions using the generalized Ulam-Hyers-Rassias stability criterion. Some examples are also provided to demonstrate the effectiveness of the proposed approach in solving fractional differential equations (FDEs) and evaluating their stability. The paper concludes by discussing potential applications of the proposed results in technology and outlining avenues for future research.

CLC number: 34A08, 34B15, 34B27

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AIMS Mathematics
Pages 27840-27856

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Cite this article:
Khan TU, Markarian C, Fachkha C. Stability analysis of new generalized mean-square stochastic fractional differential equations and their applications in technology. AIMS Mathematics, 2023, 8(11): 27840-27856. https://doi.org/10.3934/math.20231424

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Received: 16 July 2023
Revised: 16 September 2023
Accepted: 25 September 2023
Published: 15 November 2023
©2023 the Author(s), licensee AIMS Press.

This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0)