Title :
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
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;
Conference_Titel :
Bioengineering Conference, 2001. Proceedings of the IEEE 27th Annual Northeast
Conference_Location :
Storrs, CT
Print_ISBN :
0-7803-6717-0
DOI :
10.1109/NEBC.2001.924729
