MPC-based artificial pancreas accounting for circadian variability of insulin sensitivity

ABUIN, PABLO; FERRAMOSCA, ANTONIO; GONZALEZ, ALEJANDRO H.

Congreso; 2022 10th International Conference on Systems and Control (ICSC); 2022

In the context of closed-loop glycemic control,MPC has shown the skillfulness to improve glucose regulationin patients with type 1 diabetes mellitus (T1DM). To reduce itscomplexity, many of the proposed control strategies have beendesigned based on linear time-invariant (LTI) models, withoutaccounting for intraday parametric fluctuations. In this work,a pulsatile Zone Model Predictive Control (pZMPC) is exam-ined under a realistic patterns of intraday insulin sensitivity(SI ), according to the recent updates of the FDA-approvedUVA/Padova simulator. Nominal updates of the postprandialinsulin sensitivity are explicitly taken into account in thecontrol-oriented model to improve the glucose predictions. Theresulting controller is tested ’in-silico’ with the FDA-approvedUVA/Padova simulator, while its behavior is analyzed by com-paring the usual statistical metrics with the corresponding time-invariant configuration. As expected, results show significantimprovements, which justifies the (reasonable) increment in thecontroller complexity.