<p>This article presents new methodologies for investigating the optimal control outcomes of Hilfer fractional stochastic differential systems of order <InlineEquation ID="IEq1"> <EquationSource Format="TEX">\(1&lt;\psi &lt;2\)</EquationSource> <EquationSource Format="MATHML"><math> <mrow> <mn>1</mn> <mo>&lt;</mo> <mi>ψ</mi> <mo>&lt;</mo> <mn>2</mn> </mrow> </math></EquationSource> </InlineEquation> with deviated arguments in Hilbert spaces. The main results are derived using tools from fractional calculus, stochastic analysis, Volterra integrodifferential equations, cosine families, and fixed point theory. We begin by employing Krasnoselskii’s fixed point theorem, the Laplace transform, and the Arzela-Ascoli theorem to establish existence results for Hilfer fractional stochastic Volterra integrodifferential systems with deviated arguments. Subsequently, we prove the existence of optimal pairs in these systems under certain sufficient conditions. Finally, a theoretical example is provided to illustrate the proposed results.</p>

错误:搜索内容不能为空,请输入英文关键词
错误:关键词超出字数限制,请精简
高级检索

Conversation on Optimal Control of Hilfer Fractional Systems with Deviated Arguments

  • Jayaprakash Pradeesh,
  • Sumati Kumari Panda,
  • Velusamy Vijayakumar,
  • Yong-Ki Ma

摘要

This article presents new methodologies for investigating the optimal control outcomes of Hilfer fractional stochastic differential systems of order \(1<\psi <2\) 1 < ψ < 2 with deviated arguments in Hilbert spaces. The main results are derived using tools from fractional calculus, stochastic analysis, Volterra integrodifferential equations, cosine families, and fixed point theory. We begin by employing Krasnoselskii’s fixed point theorem, the Laplace transform, and the Arzela-Ascoli theorem to establish existence results for Hilfer fractional stochastic Volterra integrodifferential systems with deviated arguments. Subsequently, we prove the existence of optimal pairs in these systems under certain sufficient conditions. Finally, a theoretical example is provided to illustrate the proposed results.