{"title":"New results on the existence and approximate controllability of neutral-type Ψ-Caputo fractional delayed stochastic differential inclusions","authors":"Om Prakash Kumar Sharma , Ramesh Kumar Vats , Ankit Kumar","doi":"10.1016/j.cnsns.2025.108666","DOIUrl":null,"url":null,"abstract":"<div><div>This research aims to establish the sufficient conditions for the existence of the mild solution and approximate controllability for a class of <span><math><mi>Ψ</mi></math></span>-Caputo fractional neutral-type integro-differential stochastic inclusions with infinite delay in a separable Hilbert space. In the proposed stochastic control system, the <span><math><mi>Ψ</mi></math></span>-Caputo fractional derivative is considered, which has the flexibility to choose a suitable kernel function <span><math><mi>Ψ</mi></math></span>. Firstly, we derive the existence of the mild solution for the <span><math><mi>Ψ</mi></math></span>-Caputo fractional neutral-type delayed integro-differential stochastic system by using the Karlin fixed point approach. For this purpose, the <span><math><mi>Ψ</mi></math></span>-Caputo fractional neutral-type delayed integro-differential stochastic inclusions is transferred into an equivalent fixed point problem by implementing the <span><math><mi>Ψ</mi></math></span>-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.</div></div>","PeriodicalId":50658,"journal":{"name":"Communications in Nonlinear Science and Numerical Simulation","volume":"144 ","pages":"Article 108666"},"PeriodicalIF":3.4000,"publicationDate":"2025-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Communications in Nonlinear Science and Numerical Simulation","FirstCategoryId":"100","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1007570425000772","RegionNum":2,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MATHEMATICS, APPLIED","Score":null,"Total":0}
引用次数: 0
Abstract
This research aims to establish the sufficient conditions for the existence of the mild solution and approximate controllability for a class of -Caputo fractional neutral-type integro-differential stochastic inclusions with infinite delay in a separable Hilbert space. In the proposed stochastic control system, the -Caputo fractional derivative is considered, which has the flexibility to choose a suitable kernel function . Firstly, we derive the existence of the mild solution for the -Caputo fractional neutral-type delayed integro-differential stochastic system by using the Karlin fixed point approach. For this purpose, the -Caputo fractional neutral-type delayed integro-differential stochastic inclusions is transferred into an equivalent fixed point problem by implementing the -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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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.
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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.
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