Enhanced Model Predictive Control (eMPC) Strategy for Automated Glucose Control.

ABSTRACT: Development of an effective artificial pancreas (AP) controller to deliver insulin autonomously to people with type 1 diabetes mellitus is a difficult task. In this paper, three enhancements to a clinically validated AP model predictive controller (MPC) are proposed that address major challenges facing automated blood glucose control, and are then evaluated by both in silico tests and clinical trials. First, the core model of insulin-blood glucose dynamics utilized in the MPC is expanded with a medically inspired personalization scheme to improve controller responses in the face of inter- and intra-individual variations in insulin sensitivity. Next, the asymmetric nature of the short-term consequences of hypoglycemia versus hyperglycemia is incorporated in an asymmetric weighting of

SUBMITTER: Lee JB 

PROVIDER: S-EPMC5144164 | biostudies-literature | 2016 Nov

REPOSITORIES: biostudies-literature