Artificial pancreas under stable pulsatile MPC: improving the closed-loop performance

ABUIN, PABLO; RIVADENEIRA, PABLO S.; FERRAMOSCA, ANTONIO; GONZÁLEZ, ALEJANDRO HERNÁN

JOURNAL OF PROCESS CONTROL

ELSEVIER SCI LTD

Lugar: Amsterdam; Año: 2020

0959-1524

This work presents a pulsatile Zone Model Predictive Control (pZMPC) forthe control of blood glucose concentration (BGC) in patients with Type 1 Diabetes Mellitus (T1DM). The main novelties of the algorithm - in contrast toother existing strategies - are: (i) it controls the patient glycemia injectingshort duration insulin boluses for both, the basal and bolus infusions, in anunified manner, (ii) it performs the predictions and estimations (critical toanticipate both, hypo and hyperglycemia) based on a physiological individualizedlong-term model, (iii) it employs disturbance observers to compensate plant-model mismatches (iv) it ensures, under classical assumptions,closed-loop stability, and (v) it can be used - under minor modifications - asan optimal basal-bolus calculator to emulate conventional therapies. Becauseof the latter characteristic, a significantly better performance is achieved, not only in terms of classical indexes (time in the normoglycemia zone, avoidance of hypoglycemia in the short term, avoidance of hyperglycemia in thelong term) but also in terms of its applicability (use of the pump or injections). Such a performance is tested in a cohort of in-silico patients fromthe FDA-accepted UVA/Padova simulation platform, considering the mostchallenging scenarios