中性型Ψ-Caputo分数阶延迟随机微分包体存在性和近似可控性的新结果

IF 3.8 2区 数学 Q1 MATHEMATICS, APPLIED
Om Prakash Kumar Sharma , Ramesh Kumar Vats , Ankit Kumar
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引用次数: 0

摘要

本文旨在建立可分离Hilbert空间中一类无穷大时滞分数中立型积分微分随机包含的温和解和近似可控性存在的充分条件。在本文提出的随机控制系统中,考虑了Ψ-Caputo分数阶导数,可以灵活地选择合适的核函数Ψ。首先,利用Karlin不动点方法,得到了Ψ-Caputo分数中立型延迟积分微分随机系统温和解的存在性。为此,通过实现Ψ-Riemann-Liouville积分算子,将Ψ-Caputo分数中立型延迟积分微分随机包含问题转化为等价不动点问题,并应用Karlin不动点定理。进一步,在考虑相应线性系统近似可控的情况下,建立了所提随机控制系统的近似可控性结果。利用分数阶微积分、一般随机分析理论、不动点技术、有界线性算子的半群理论和多值映射理论等概念,建立了充分条件集。最后,给出了一个具体的算例来验证抽象结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
New results on the existence and approximate controllability of neutral-type Ψ-Caputo fractional delayed stochastic differential inclusions
This research aims to establish the sufficient conditions for the existence of the mild solution and approximate controllability for a class of Ψ-Caputo fractional neutral-type integro-differential stochastic inclusions with infinite delay in a separable Hilbert space. In the proposed stochastic control system, the Ψ-Caputo fractional derivative is considered, which has the flexibility to choose a suitable kernel function Ψ. Firstly, we derive the existence of the mild solution for the Ψ-Caputo fractional neutral-type delayed integro-differential stochastic system by using the Karlin fixed point approach. For this purpose, the Ψ-Caputo fractional neutral-type delayed integro-differential stochastic inclusions is transferred into an equivalent fixed point problem by implementing the Ψ-Riemann–Liouville integral operator, and then the Karlin fixed point theorem is applied. Further, the approximate controllability results of the proposed stochastic control system are established under the consideration that the corresponding linear system is approximate controllable. The set of sufficient conditions is established by using the concepts of fractional calculus, the general theory of stochastic analysis, fixed point technique, semigroup theory of bounded linear operators, and the theory of multivalued maps. At the end of the paper, a concrete example is provided to validate the abstract results.
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来源期刊
Communications in Nonlinear Science and Numerical Simulation
Communications in Nonlinear Science and Numerical Simulation MATHEMATICS, APPLIED-MATHEMATICS, INTERDISCIPLINARY APPLICATIONS
CiteScore
6.80
自引率
7.70%
发文量
378
审稿时长
78 days
期刊介绍: The journal publishes original research findings on experimental observation, mathematical modeling, theoretical analysis and numerical simulation, for more accurate description, better prediction or novel application, of nonlinear phenomena in science and engineering. It offers a venue for researchers to make rapid exchange of ideas and techniques in nonlinear science and complexity. The submission of manuscripts with cross-disciplinary approaches in nonlinear science and complexity is particularly encouraged. Topics of interest: Nonlinear differential or delay equations, Lie group analysis and asymptotic methods, Discontinuous systems, Fractals, Fractional calculus and dynamics, Nonlinear effects in quantum mechanics, Nonlinear stochastic processes, Experimental nonlinear science, Time-series and signal analysis, Computational methods and simulations in nonlinear science and engineering, Control of dynamical systems, Synchronization, Lyapunov analysis, High-dimensional chaos and turbulence, Chaos in Hamiltonian systems, Integrable systems and solitons, Collective behavior in many-body systems, Biological physics and networks, Nonlinear mechanical systems, Complex systems and complexity. No length limitation for contributions is set, but only concisely written manuscripts are published. Brief papers are published on the basis of Rapid Communications. Discussions of previously published papers are welcome.
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