Title :
Discrete-time MRAC schemes using sensor uncertainty compensation with application to artificial pancreas
Author :
Li, Shanshan ; Tao, Gang ; Liu, Yu
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Virginia, Charlottesville, VA, USA
Abstract :
In this paper, model reference adaptive control (MRAC) schemes are developed for discrete-time plants in the presence of sensor uncertainties. Two adaptive schemes are proposed for both known and unknown plant dynamics to account for parametrizable sensor uncertainties when reliable output measurements are not available for feedback. As an illustrative example, a simulation study is carried out for adaptive control of an artificial pancreas dynamic model with glucose sensor uncertainties, for desired blood glucose regulation.
Keywords :
biocontrol; biosensors; blood; compensation; discrete time systems; model reference adaptive control systems; sugar; uncertain systems; artificial pancreas dynamic model; blood glucose regulation; discrete time MRAC schemes; model reference adaptive control; plant dynamics; sensor uncertainty compensation; Adaptive control; Blood; Control systems; Insulin; Output feedback; Pancreas; Sensor phenomena and characterization; Sensor systems; Sugar; Uncertainty; adaptive control; artificial pancreas; sensor uncertainty; tracking; uncertainty compensation;
Conference_Titel :
Decision and Control, 2009 held jointly with the 2009 28th Chinese Control Conference. CDC/CCC 2009. Proceedings of the 48th IEEE Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-3871-6
Electronic_ISBN :
0191-2216
DOI :
10.1109/CDC.2009.5400470
