Multiple Constrained MPCs for glucose regulation in Type 1 Diabetes1

Q3 Engineering

IFAC-PapersOnLine Pub Date : 2025-01-01 DOI:10.1016/j.ifacol.2025.06.006

Matteo Ragni , Paolo A. Mongini , Lalo Magni , Chiara Toffanin

引用次数: 0

Abstract

This study introduces a personalized Model Predictive Control (MPC) strategy for managing type 1 diabetes, specifically addressing intra-day variability in glucose regulation. The proposed method uses a soft-switching mechanism combining multiple MPCs, each optimized for distinct day periods (breakfast, lunch, and dinner). Patient-specific models were identified using an enhanced impulse response technique, featuring a novel clinically-based cost function to better capture circadian dynamics. A switching mechanism ensures smooth transitions between controllers, minimizing disruptions. Performance was evaluated using the FDA-approved UVA/Padova simulator, demonstrating a 20% improvement in model fit and enhanced control performance compared to the state-of-art approach. The strategy consistently prevented hypoglycemia while improving time-in-target metrics.

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多约束MPCs对1型糖尿病的血糖调节作用

本研究引入了一种个性化的模型预测控制（MPC）策略来管理1型糖尿病，特别是处理葡萄糖调节的日间变异性。所提出的方法使用结合多个mpc的软开关机制，每个mpc针对不同的一天时间段（早餐，午餐和晚餐）进行优化。使用增强的脉冲响应技术确定了患者特异性模型，该模型具有新颖的基于临床的成本函数，以更好地捕捉昼夜动力学。切换机制确保控制器之间的平稳过渡，最大限度地减少中断。使用fda批准的UVA/Padova模拟器对性能进行评估，与最先进的方法相比，模型拟合改善了20%，控制性能增强。该策略持续预防低血糖，同时改善目标时间指标。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

IFAC-PapersOnLine Engineering-Control and Systems Engineering

CiteScore

1.70

自引率

0.00%

发文量

1122

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