Title
Accelerated Model Predictive Controller For Artificial Pancreas
Abstract
This work consists of a contribution to the artificial pancreas (AP) development by introducing new techniques of control based on an acceleration of reference tracking by using a variable penalisation of the cost function instead of fixed and arbitrary penalisation, two new functions of the weighting factors are introduced in the formulation of the control algorithm. This method allows a rapid rejection of meal disturbance, a reduction of glucose peak and a complete avoidance of hypoglycaemia. The developed controller performances are evaluated in silico test which is equivalent to animal test using the UVa/Padova simulator.
Year
DOI
Venue
2018
10.1504/IJMIC.2018.095335
INTERNATIONAL JOURNAL OF MODELLING IDENTIFICATION AND CONTROL
Keywords
Field
DocType
artificial pancreas, AP, reference tracking, weighting factors, control algorithm, disturbance, hypoglycaemia
Control algorithm,Artificial pancreas,Control theory,Weighting,Control theory,Control engineering,Acceleration,Mathematics
Journal
Volume
Issue
ISSN
30
3
1746-6172
Citations 
PageRank 
References 
0
0.34
0
Authors
4
Name
Order
Citations
PageRank
Mohamed El Hachimi100.34
Abdelhakim Ballouk201.35
Ilyass Khelafa300.34
Abdennaceur Baghdad403.72