@article{MAKHILLIJEPE201913325319,
    title = {Model Based Control for Insulin Infusion System in Postoperative Diabetic Patients: A Novel
Approach},
    journal = {International Journal of Electrical and Power Engineering},
    volume = {13},
    number = {3},
    pages = {50-55},
    year = {2019},
    issn = {1990-7958},
    doi = {ijepe.2019.50.55},
    url = {https://makhillpublications.co/view-article.php?issn=1990-7958&doi=ijepe.2019.50.55},
    author = {A. and},
    keywords = {Diabetic infusion system,minimal model,model predictive control,internal model control,blood glucose,infusion system},
    abstract = {In post-operative period, the variation of the
blood glucose level is one of the important complications
to be controlled which avoid abnormal conditions like
hypo/hyper glycaemia that leads to emergency situation.
To overcome this condition the closed loop control
strategy is used to infuse the insulin to the human body as
a continuous infusion system that stabilizes its level. In
this study two different model based controllers (Model
predictive control and Internal model control) were
designed and their performances were observed. The
output of the controller were compared and tested with
Bergman minimal model in normal condition and even
with series disturbance like meal and exercise. The results
clearly predict that model predictive controller
performance is better and meets the target.}
    }