Velocity-weighting & velocity-penalty MPC of an artificial pancreas: Improved safety & performance.

ABSTRACT: A novel Model Predictive Control (MPC) law for the closed-loop operation of an Artificial Pancreas (AP) to treat type 1 diabetes is proposed. The contribution of this paper is to simultaneously enhance both the safety and performance of an AP, by reducing the incidence of controller-induced hypoglycemia, and by promoting assertive hyperglycemia correction. This is achieved by integrating two MPC features separately introduced by the authors previously to independently improve the control performance with respect to these two coupled issues. Velocity-weighting MPC reduces the occurrence of controller-induced hypoglycemia. Velocity-penalty MPC yields more effective hyperglycemia correction. Benefits of the proposed MPC law over the MPC strategy deployed in the authors' previous

SUBMITTER: Gondhalekar R 

PROVIDER: S-EPMC6051553 | biostudies-literature | 2018 May

REPOSITORIES: biostudies-literature