Bi-hormonal Linear Time-Varying Model Predictive Control for Blood Glucose Regulation in Type 1 Diabetes Patients

Conference paper (2023)

Authors

D. Kalisvaart Team Carlas Smith - Mechanical, Maritime and Materials Engineering
S. Grammatico , Team Sergio Grammatico - Mechanical, Maritime and Materials Engineering
Research Group
Team Carlas Smith (Mechanical, Maritime and Materials Engineering) (TU Delft)
Copyright: © 2023 D. Kalisvaart, Jorge Bonekamp, S. Grammatico
DOI: https://doi.org/10.1109/CCTA54093.2023.10252997
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Published Date

2023

Language

English

Reuse Rights

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Faculty

Mechanical, Maritime and Materials Engineering

Department

Delft Center for Systems and Control

Research Group

Team Carlas Smith

Abstract

We study predictive control for blood glucose regulation in patients with type 1 diabetes mellitus. We determine optimal control actions for insulin and glucagon infusion via linear time-varying model predictive control (LTV MPC) and dynamic linerization around the state trajectory predicted. Through in silico implementation of a comprehensive nonlinear model, we show that our proposed controller is able to reject meal disturbances, retain normoglycemia afterwards and significantly outperform standard linearized MPC.

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