Title
Moving-horizon-like state estimation via continuous glucose monitor feedback in MPC of an artificial pancreas for type 1 diabetes
Abstract
An extension of a novel state estimation scheme is presented. The proposed method is developed for model predictive control (MPC) of an artificial pancreas for automatic insulin delivery to people with type 1 diabetes mellitus; specifically, glycemia control based on feedback by a continuous glucose monitor. The state estimation strategy is akin to moving-horizon estimation, but effectively exploits knowledge of sensor recalibrations, ameliorates the effects of delays between measurements and the controller call, and accommodates irregularly sampled output measurements. The method performs a function fit and a sampling action to synthesize a mock output trajectory for constructing the state. In this paper the structure of the fitted function prototype is divorced from the structure of the function that is sampled, facilitating the strategic elimination of prediction artifacts that are not observed in the actual plant. The proposed estimation strategy is demonstrated using clinical data collected by a Dexcom G4 Platinum continuous glucose monitor.
Year
DOI
Venue
2014
10.1109/CDC.2014.7039399
Decision and Control
Keywords
Field
DocType
biological organs,control system synthesis,diseases,patient monitoring,predictive control,sampled data systems,state estimation,sugar,Dexcom G4 Platinum continuous glucose monitor feedback,MPC,artificial pancreas,automatic insulin delivery,clinical data collection,controller call delay,fitted function prototype,glycemia control,irregularly sampled output measurements,measurement delay,mock output trajectory synthesis,model predictive control,moving-horizon-like state estimation,sensor recalibration,type-1 diabetes mellitus
Artificial pancreas,Control theory,Control theory,Computer science,Model predictive control,Horizon,Control engineering,Function prototype,Sampling - action,Trajectory
Conference
Volume
ISSN
Citations 
2014
0743-1546
1
PageRank 
References 
Authors
0.37
2
4
Name
Order
Citations
PageRank
Ravi Gondhalekar1314.91
Eyal Dassau29113.68
Francis J Doyle324445.10
Doyle, F.J.410.37