Estimation-based model predictive control of blood glucose in type I diabetics: a simulation study

Author

Lynch, Sandra M. ; Bequette, B. Wayne

Author_Institution

Isermann Dept. of Chem. Eng., Rensselaer Polytech. Inst., Troy, NY, USA

fYear

2001

fDate

2001

Firstpage

79

Lastpage

80

Abstract

A constrained state space model predictive controller, designed based on a 3-state model of the human glucose-insulin interaction, was implemented on a 19-state simulation model of a Type I Diabetic patient. The controller maintained the blood sugar level of the patient plant between the values of 60 and 130 mg/dl, when subjected to a meal disturbance of 50 g, significantly lowering the risk of hypoglycemia/hyperglycemia

Keywords

biocontrol; blood; digital simulation; diseases; physiological models; predictive control; state-space methods; 19-state simulation model; 3-state model; artificial pancreas; blood glucose; blood sugar level; constrained state space model predictive controller; estimation-based model predictive control; human glucose-insulin interaction; hyperglycemia; hypoglycemia; meal disturbance; patient plant; simulation study; type I diabetics; Blood; Diabetes; Equations; Insulin; Pancreas; Plasmas; Predictive control; Predictive models; State-space methods; Sugar;

fLanguage

English

Publisher

ieee

Conference_Titel

Bioengineering Conference, 2001. Proceedings of the IEEE 27th Annual Northeast

Conference_Location

Storrs, CT

Print_ISBN

0-7803-6717-0

Type

conf

DOI

10.1109/NEBC.2001.924729

Filename

924729