Langevin neutral impulsive fractional stochastic system along fractional Brownian motion-A controllability analysis

The purpose of this work is to investigate the controllability of Langevin-type stochastic neutral impulsive integro-differential equations governed by the Caputo fractional derivative and driven by fractional Brownian motion, which arise naturally in systems exhibiting memory, impulsive effects, and stochastic disturbances. Using resolvent operators and fixed-point techniques, necessary and sufficient controllability conditions are established for the associated linear system, while the controllability of the nonlinear system is demonstrated via the Banach contraction principle. The theoretical results confirm that appropriate control functions can steer the system to a desired state within a finite time interval. Finally, illustrative numerical examples are provided to demonstrate the applicability and effectiveness of the obtained results, highlighting their relevance to practical stochastic control problems.

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Publication Details

Journal
Journal of low frequency noise, vibration and active control
Published
2026-03-04
DOI
https://doi.org/10.1177/14613484261430389
Primary Topic
Fractional Differential Equations Solutions
Type
article
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0.00
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article

Langevin neutral impulsive fractional stochastic system along fractional Brownian motion-A controllability analysis

M. Lavanya, Hijaz Ahmad, B. Sundara Vadivoo, Dilber Uzun Ozsahin et al.
Journal of low frequency noise, vibration and active control
Fractional Differential Equations Solutions
article

Langevin neutral impulsive fractional stochastic system along fractional Brownian motion-A controllability analysis

M. Lavanya, Hijaz Ahmad, B. Sundara Vadivoo, Dilber Uzun Ozsahin, Taha Radwan
article en

Abstract

The purpose of this work is to investigate the controllability of Langevin-type stochastic neutral impulsive integro-differential equations governed by the Caputo fractional derivative and driven by fractional Brownian motion, which arise naturally in systems exhibiting memory, impulsive effects, and stochastic disturbances. Using resolvent operators and fixed-point techniques, necessary and sufficient controllability conditions are established for the associated linear system, while the controllability of the nonlinear system is demonstrated via the Banach contraction principle. The theoretical results confirm that appropriate control functions can steer the system to a desired state within a finite time interval. Finally, illustrative numerical examples are provided to demonstrate the applicability and effectiveness of the obtained results, highlighting their relevance to practical stochastic control problems.

Journal of low frequency noise, vibration and active control
Central University of Tamil Nadu (IN), Alagappa University (IN), Qassim University (SA), University of Sharjah (AE), Near East University (CY), Széchenyi István University (HU)
Openalex Percentile: Top 31%
Fractional Differential Equations Solutions
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