Square integrable solutions and stability of a second-order stochastic integro-differential equation

This article investigates the stochastic asymptotic stability, boundedness, and square integrability of solutions to a class of second-order nonlinear stochastic integro-differential equations with multiple variable delays. The analysis is conducted through the construction of an appropriate Lyapunov-Krasovskii functional (L-KF), tailored to handle the combined effects of stochastic perturbations, time-varying delays, and integro-differential memory terms. Unlike many existing studies, our framework accommodates all these complexities simultaneously, thereby generalizing and extending recent contributions in the field while relaxing several restrictive assumptions. To validate the theoretical results and illustrate their practical applicability, numerical simulations are provided.

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Publication Details

Journal
Scientific Reports
Published
2026-02-03
DOI
https://doi.org/10.1038/s41598-026-37970-5
Primary Topic
Neural Networks Stability and Synchronization
Type
article
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article

Square integrable solutions and stability of a second-order stochastic integro-differential equation

Mohammed Meziane, Omar Djidel, Asma Alharbi, Linda Fatima Oudjedi Damerdji et al.
Scientific Reports
Neural Networks Stability and Synchronization
article

Square integrable solutions and stability of a second-order stochastic integro-differential equation

Mohammed Meziane, Omar Djidel, Asma Alharbi, Linda Fatima Oudjedi Damerdji, Salah Boulaaras
article en

Abstract

This article investigates the stochastic asymptotic stability, boundedness, and square integrability of solutions to a class of second-order nonlinear stochastic integro-differential equations with multiple variable delays. The analysis is conducted through the construction of an appropriate Lyapunov-Krasovskii functional (L-KF), tailored to handle the combined effects of stochastic perturbations, time-varying delays, and integro-differential memory terms. Unlike many existing studies, our framework accommodates all these complexities simultaneously, thereby generalizing and extending recent contributions in the field while relaxing several restrictive assumptions. To validate the theoretical results and illustrate their practical applicability, numerical simulations are provided.

Scientific ReportsVol. 16(1)
Université Oran 1 Ahmed Ben Bella (DZ), Qassim University (SA), Buraydah Colleges (SA), Tissemsilt University (DZ)
Openalex Percentile: Top 74%
Neural Networks Stability and Synchronization
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Square integrable solutions and stability of a second-order stochastic integro-differential equation — Mohammed Meziane, Omar Djidel, et al. · Scientific Reports (2026) | TGRS Research Map | TGRS