Fractional Order Modeling and Control of Type 1 Diabetes with Genetic Algorithm Optimization

Type 1 diabetes mellitus is a disorder characterized by elevated blood glucose levels resulting from inadequate or missing insulin synthesis. To regulate glycemia, diabetic patients require exogenous insulin infusion. This paper presents a comparison of four control strategies for autonomous regulation of glycemia, i.e., integer and fractional order variations of proportional integral control and sliding mode control. Genetic algorithms are employed for optimizing glycemic regulation, that are validated through numerical simulations on the fractional Bergman glucoregulatory model in presence of meal disturbance. It is found that the fractional version of the sliding mode controller exhibits superior performance in terms in time in normal glycemic range and time spent in hypoglycemia, also showing robustness properties with respect to meal increments.

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Published
2025-08-17
DOI
https://doi.org/10.1109/case58245.2025.11164067
Primary Topic
Diabetes Management and Research
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article
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Fractional Order Modeling and Control of Type 1 Diabetes with Genetic Algorithm Optimization

Riccardo Caponetto, Francesco Delli Priscoli, Luca Patané, Federico Baldisseri et al.
Diabetes Management and Research
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Fractional Order Modeling and Control of Type 1 Diabetes with Genetic Algorithm Optimization

Riccardo Caponetto, Francesco Delli Priscoli, Luca Patané, Federico Baldisseri, Andrea Wrona, Nebojša Koledin
article en

Abstract

Type 1 diabetes mellitus is a disorder characterized by elevated blood glucose levels resulting from inadequate or missing insulin synthesis. To regulate glycemia, diabetic patients require exogenous insulin infusion. This paper presents a comparison of four control strategies for autonomous regulation of glycemia, i.e., integer and fractional order variations of proportional integral control and sliding mode control. Genetic algorithms are employed for optimizing glycemic regulation, that are validated through numerical simulations on the fractional Bergman glucoregulatory model in presence of meal disturbance. It is found that the fractional version of the sliding mode controller exhibits superior performance in terms in time in normal glycemic range and time spent in hypoglycemia, also showing robustness properties with respect to meal increments.

University of Messina (IT), Sapienza University of Rome (IT)
Openalex Percentile: Top 65%
Diabetes Management and Research
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