INVESTIGADORES
GONZALEZ Alejandro Hernan
congresos y reuniones científicas
Título:
Artificial pancreas under periodic MPC for trajectory tracking: handling circadian variability of insulin sensitivity
Autor/es:
ABUIN, PABLO; FERRAMOSCA, ANTONIO; TOFFANIN, CHIARA; MAGNI, LALO; GONZÁLEZ, ALEJANDRO HERNÁN
Lugar:
Paris
Reunión:
Workshop; 8th IFAC Workshop on Control Application of Optimization (CAO2022); 2022
Institución organizadora:
IFAC
Resumen:
Closed-loop glycemic control algorithms have demonstrated the ability to improve glucoseregulation in patients with type 1 diabetes mellitus (T1D), both in silico and clinical trials. Many ofthe proposed control strategies have been developed, based on time-invariant linear models, withoutconsidering the parametric variations of T1DM subjects. In this work, a pulsatile Zone Model PredictiveControl (pZMPC) is proposed, which explicitly considers patterns of intra-day insulin sensitivity (SI ),according to the latest updates of the FDA-approved UVA/Padova simulator. Results show a significantimprovement in the performance, which a-priori justifies the increment in the controller complexity.
