DocumentCode
3050685
Title
Model-less versus Model-Based Controllers for Diabetes
Author
Ben Sasi, Ahmed Y. ; Elmalki, Mahmud A.
Author_Institution
Coll. of Ind. Technol., Misurata, Libya
fYear
2013
fDate
13-16 Oct. 2013
Firstpage
4706
Lastpage
4711
Abstract
In this paper, a closed-loop control system was suggested for continuous insulin infusion to improve the traditional discrete methods and make diabetes therapy automatic in practice. Based on continuous injection model, two controllers were designed to tackle a control problem. The controllers designed in this paper are: model-less controller i.e. proportional integral derivative (PID), and model-based controller i.e. linear model predictive controller (LMPC). Even with serious disturbances to glucose, such as exercise, delay or noise in glucose sensor and nutrition mixed meal absorption at meal times, the linear model predictive controller can perform well in simulation experiments compared to the PID controller. Therefore, the LMPC would be preferable and advisable when it comes to critical diabetic cases.
Keywords
closed loop systems; control system synthesis; diseases; linear systems; medical control systems; patient treatment; predictive control; three-term control; LMPC; PID controller; automatic diabetes therapy; closed-loop control system; continuous injection model; continuous insulin infusion; controllers design; critical diabetic cases; discrete methods; glucose sensor; linear model predictive controller; model-based controllers; model-less controller; nutrition mixed meal absorption; proportional integral derivative controller; Diabetes; Insulin; Mathematical model; Noise; Noise measurement; Predictive models; Sugar; closed-loop; diabetes; glucose; insulin; predictive;
fLanguage
English
Publisher
ieee
Conference_Titel
Systems, Man, and Cybernetics (SMC), 2013 IEEE International Conference on
Conference_Location
Manchester
Type
conf
DOI
10.1109/SMC.2013.801
Filename
6722556
Link To Document