Mittag–Leffler synchronization of fractional‐order reaction–diffusion systems

Abstract This paper presents a rigorous analytical framework for investigating the Mittag–Leffler synchronization (MLSY) properties in fractional‐order reaction–diffusion systems (FO‐RDs). By incorporating a linear control strategy within a drive‐response configuration, we derive sufficient conditions under which the system states converge to their equilibrium point (EP). The analysis employs fractional calculus specifically Caputo fractional derivatives (CFDs) and Mittag–Leffler function estimates—in conjunction with Lyapunov function (LF) techniques to establish Mittag–Leffler stability (MLS) and synchronization despite the systems' inherent nonlinearities and spatial heterogeneity. The theoretical results are substantiated by numerical simulations on a glycolysis RD model, demonstrating rapid convergence and robust performance of the proposed control scheme. These findings underscore the potential applicability of the developed approach in diverse areas such as secure communications, biological system modeling, and complex network synchronization.

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Publication Details

Journal
Asian Journal of Control
Published
2025-05-20
DOI
https://doi.org/10.1002/asjc.3702
Citations
2
Primary Topic
Fractional Differential Equations Solutions
Type
article
Field-Weighted Citation Impact
2.74
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article

Mittag–Leffler synchronization of fractional‐order reaction–diffusion systems

Adel Ouannas, Mohamed Dalah, Issam Bendib
2 citations
Asian Journal of Control
Fractional Differential Equations Solutions
2.74
article

Mittag–Leffler synchronization of fractional‐order reaction–diffusion systems

Adel Ouannas, Mohamed Dalah, Issam Bendib
article en
2 citations

Abstract

Abstract This paper presents a rigorous analytical framework for investigating the Mittag–Leffler synchronization (MLSY) properties in fractional‐order reaction–diffusion systems (FO‐RDs). By incorporating a linear control strategy within a drive‐response configuration, we derive sufficient conditions under which the system states converge to their equilibrium point (EP). The analysis employs fractional calculus specifically Caputo fractional derivatives (CFDs) and Mittag–Leffler function estimates—in conjunction with Lyapunov function (LF) techniques to establish Mittag–Leffler stability (MLS) and synchronization despite the systems' inherent nonlinearities and spatial heterogeneity. The theoretical results are substantiated by numerical simulations on a glycolysis RD model, demonstrating rapid convergence and robust performance of the proposed control scheme. These findings underscore the potential applicability of the developed approach in diverse areas such as secure communications, biological system modeling, and complex network synchronization.

Asian Journal of ControlVol. 28(1)
Larbi Ben M'hidi University of Oum El Bouaghi (DZ)
Openalex Percentile: Top 11%
Fractional Differential Equations Solutions
2.74
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