Robust Model Reference Adaptive Control for an Insulin-Glucose Model

Resumen: In this paper, a robust nonlinear model reference adaptive controller is proposed to solve the problem of blood glucose regulation for critically ill patients affected by type 1 diabetes mellitus. The proposed method considers blood glucose measurement and insulin infusion via intravenous. The proposed scheme copes with external disturbances such as food intake, unmodeled dynamics, and parameter uncertainties given by the interpatient variability. The algorithm can regulate asymptotically the blood glucose to the basal glucose level. The approach is validated in the UVA/Padova metabolic simulator for 10 in silico adult patients without meal advertisement. Minimal risks of hyperglycemia and hypoglycemia are achieved.

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R. Franco, H. Rios, A. Ferreira de Loza, D. Efimov, L. Cassany, D. Gucik-Derigny J. Cieslak & D. Henry. Robust Model Reference Adaptive Control for an Insulin-Glucose Model. Memorias del Congreso Nacional de Control Automático, pp. 154-159, 2021.

Palabras clave

Type 1 Diabetes Mellitus, Blood Glucose Regulation, Adaptive Control

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