Faculty of Civil Engineering

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Author: search.filters.author.Kostić, MarkoLanguage: search.filters.language.English

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    Item type:Publication,
    Weighted pseudo
    <i>S</i>
    -asymptotically (
    <i>ω, c</i>
    )-periodic solutions to fractional stochastic differential equations
    (Walter de Gruyter GmbH, 2025-10-01)
    Kostić, Marko
    ;
    Koyuncuoğlu, Halis Can
    ;
    In this paper, we analyze the existence and uniqueness of Stepanov-like weighted pseudo $S$-asymptotically $(\omega,c)$-periodic solutions for a class of fractional stochastic differential equations. We clarify the sufficient conditions ensuring the existence of mild solutions and explore their stability properties. The new existence and uniqueness results are provided and an illustrative example is presented to demonstrate the applicability of the established theoretical findings.
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    Square-Mean S-Asymptotically (ω,c)-Periodic Solutions to Neutral Stochastic Impulsive Equations
    (MDPI AG, 2025-11-12)
    Chaouchi, Belkacem
    ;
    Du, Wei-Shih
    ;
    Kostić, Marko
    ;
    This paper investigates the existence of square-mean S-asymptotically (𝜔,𝑐)-periodic solutions for a class of neutral impulsive stochastic differential equations driven by fractional Brownian motion, addressing the challenge of modeling long-range dependencies, delayed feedback, and abrupt changes in systems like biological networks or mechanical oscillators. By employing semigroup theory to derive mild solution representations and the Banach contraction principle, we establish sufficient conditions–such as Lipschitz continuity of nonlinear terms and growth bounds on the resolvent operator—that guarantee the uniqueness and existence of such solutions in the space 𝒮⁢𝐴⁢𝑃𝜔,𝑐⁢([0,∞),𝐿2⁡(𝛺,ℍ)). The important results demonstrate that under these assumptions, the mild solution exhibits square-mean S-asymptotic (𝜔,𝑐)-periodicity, enabling robust asymptotic analysis beyond classical periodicity. We illustrate these findings with examples, such as a neutral stochastic heat equation with impulses, revealing stability thresholds and decay rates and highlighting the framework’s utility in predicting long-term dynamics. These outcomes advance stochastic analysis by unifying neutral, impulsive, and fractional noise effects, with potential applications in control theory and engineering.