Zone Model Predictive Control: A Strategy to Minimize Hyper- and Hypoglycemic Events

Benyamin Grosman, Eyal Dassau, Howard C. Zisser, Lois Jovanovič, Francis J. Doyle
2010 Journal of Diabetes Science and Technology  
Abbreviations: (ARX) autoregression with exogenous input, (CHO) carbohydrate, (CM) control moves, (CV) controlled variables, (FDA) Food and Drug Administration, (IOB) insulin-on-board, (MDI) multiple daily injections, (MPC) model predictive control, (Padova) University of Padova, (PH) prediction horizon, (ST) settling time, (SD) standard deviation, (T1DM) type 1 diabetes mellitus, (TO180) time (min) over 180 (mg/dl), (UVa) University of Virginia Abstract Background: Development of an artificial
more » ... pancreas based on an automatic closed-loop algorithm that uses a subcutaneous insulin pump and continuous glucose sensor is a goal for biomedical engineering research. However, closing the loop for the artificial pancreas still presents many challenges, including model identification and design of a control algorithm that will keep the type 1 diabetes mellitus subject in normoglycemia for the longest duration and under maximal safety considerations. Method: An artificial pancreatic β-cell based on zone model predictive control (zone-MPC) that is tuned automatically has been evaluated on the University of Virginia/University of Padova Food and Drug Administration-accepted metabolic simulator. Zone-MPC is applied when a fixed set point is not defined and the control variable objective can be expressed as a zone. Because euglycemia is usually defined as a range, zone-MPC is a natural control strategy for the artificial pancreatic β-cell.
doi:10.1177/193229681000400428 pmid:20663463 pmcid:PMC2909531 fatcat:6swm6so4jbcv3momj33gk4wtsm