Approximate controllability for hybrid fractional stochastic differential equations with impulsive conditions

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Authors: Ying Chen, Xiao‐Bao Shu
Cited by: 3
References: 38

Abstract

This paper investigates a dynamical control system described by nonlinear fractional stochastic differential equations. This study focuses on the approximate controllability and the existence of mild solutions for hybrid fractional stochastic differential equations with impulsive conditions. By employing the theory of sectorial operators, fixed point theorems, stochastic analysis techniques, a new set of sufficient conditions for the approximate controllability of the system is derived. To demonstrate the applicability of theoretical results, an example is provided at the end of this paper.

Fields of Study & Subjects

Nonlinear Differential Equations Analysis Fractional Differential Equations Solutions Fuzzy Systems and Optimization

Publication details

Journal / source
Applicable Analysis
Publisher
Informa UK Limited
Volume
105
Issue
11
Pages
2387–2412
Publication date
3 March 2026
Language
EN