Model-based nonlinear optimal blood glucose control of type I diabetes patients.
Using induced L(2)-norm minimization, a robust controller was developed for insulin delivery in Type I diabetic patients. The high-complexity nonlinear diabetic patient Sorensen-model [1] was considered. LPV (Linear Parameter Varying) methodology was used to develop open loop model and robust controller. Considering the normoglycemic set point (81.1 mg/dL), a polytopic set was created over the physiologic boundaries of the glucose-insulin interaction of the Sorensen-model. In this way, LPV model formalism was defined. The robust control was developed considering input and output multiplicative uncertainties with other weighting functions.
Kovács
Levente
L
Dep. of Control Engineering and Information Technology, Budapest University of Technology and Economics, 1117 Hungary. lkovacs@iit.bme.hu
Kulcsár
Balázs
B
Bokor
József
J
Benyó
Zoltán
Z
D001698:Biomedical Engineering; D001786:Blood Glucose / Q000378:metabolism*; D003922:Diabetes Mellitus, Type 1 / Q000097:blood* / Q000188:drug therapy*; D016503:Drug Delivery Systems / Q000706:statistics & numerical data; D006801:Humans; D007328:Insulin / Q000008:administration & dosage*; D008954:Models, Biological; D017711:Nonlinear Dynamics
D001786:Blood Glucose; D007328:Insulin