Hyers-Ulam Stability and Control of Fractional Glucose-Insulin Systems

This paper presents a novel fractional-order model for glucose-insulin dynamics using the Caputo-Fabrizio (CF) derivative, which accounts for memory effects through its nonsingular exponential kernel. Existence and uniqueness of the solution are established via fixed point theory, and infinite series solutions are obtained using the Sumudu transform. Hyers-Ulam stability is analyzed to assess the system’s robustness against perturbations. A linear control strategy is introduced to regulate glucose levels, demonstrating potential for integration with real-time insulin delivery systems. Compared to classical integer-order models, the proposed approach provides improved accuracy, enhanced stability, and deeper insight into the chaotic behavior of glucose-insulin interactions. This framework supports the development of personalized diabetes treatment and adaptive control strategies.

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Publication Details

Journal
European Journal of Pure and Applied Mathematics
Published
2025-05-01
DOI
https://doi.org/10.29020/nybg.ejpam.v18i2.6152
Citations
8
Primary Topic
Diabetes Management and Research
Type
article
Field-Weighted Citation Impact
10.36

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article

Hyers-Ulam Stability and Control of Fractional Glucose-Insulin Systems

Brahim Dridi, Abdullah Alahmari„, Sayed Saber, Mohammed Messaoudi
8 citations
European Journal of Pure and Applied Mathematics
Diabetes Management and Research
10.36
article

Hyers-Ulam Stability and Control of Fractional Glucose-Insulin Systems

Brahim Dridi, Abdullah Alahmari„, Sayed Saber, Mohammed Messaoudi
article en
8 citations

Abstract

This paper presents a novel fractional-order model for glucose-insulin dynamics using the Caputo-Fabrizio (CF) derivative, which accounts for memory effects through its nonsingular exponential kernel. Existence and uniqueness of the solution are established via fixed point theory, and infinite series solutions are obtained using the Sumudu transform. Hyers-Ulam stability is analyzed to assess the system’s robustness against perturbations. A linear control strategy is introduced to regulate glucose levels, demonstrating potential for integration with real-time insulin delivery systems. Compared to classical integer-order models, the proposed approach provides improved accuracy, enhanced stability, and deeper insight into the chaotic behavior of glucose-insulin interactions. This framework supports the development of personalized diabetes treatment and adaptive control strategies.

European Journal of Pure and Applied MathematicsVol. 18(2)
Umm al-Qura University (SA), Imam Mohammad ibn Saud Islamic University (SA), Al Baha University (SA)
Umm Al-Qura University
Openalex Percentile: Top 2%
Diabetes Management and Research
10.36
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