دورية أكاديمية

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

التفاصيل البيبلوغرافية
العنوان: Stability analysis of new generalized mean-square stochastic fractional differential equations and their applications in technology
المؤلفون: Tahir Ullah Khan, Christine Markarian, Claude Fachkha
المصدر: AIMS Mathematics, Vol 8, Iss 11, Pp 27840-27856 (2023)
بيانات النشر: AIMS Press, 2023.
سنة النشر: 2023
المجموعة: LCC:Mathematics
مصطلحات موضوعية: fractional differential equations, stability analysis, mean-square stochastic calculus, nonlinear systems, control theory, signal processing, Mathematics, QA1-939
الوصف: 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.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 2473-6988
Relation: https://doaj.org/toc/2473-6988
DOI: 10.3934/math.20231424?viewType=HTML
DOI: 10.3934/math.20231424
URL الوصول: https://doaj.org/article/0116270046734273ac7323f941f469f8
رقم الأكسشن: edsdoj.0116270046734273ac7323f941f469f8
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:24736988
DOI:10.3934/math.20231424?viewType=HTML