Comparison of control algorithms for the blood glucose concentration in a virtual patient with an artificial pancreas

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dc.authoridGoz, Eda/0000-0002-3111-9042
dc.authoridYuceer, Mehmet/0000-0002-2648-3931
dc.authorwosidGoz, Eda/AAH-3388-2020
dc.authorwosidYuceer, Mehmet/E-5110-2012
dc.contributor.authorSemizer, E.
dc.contributor.authorYuceer, M.
dc.contributor.authorAtasoy, I.
dc.contributor.authorBerber, R.
dc.date.accessioned2024-08-04T20:35:56Z
dc.date.available2024-08-04T20:35:56Z
dc.date.issued2012
dc.departmentİnönü Üniversitesien_US
dc.description.abstractTo obtain the most suitable control algorithm for a wearable artificial pancreas, different control algorithms were compared and tested using a Hovorka model. Model predictive control (MPC), linear and nonlinear model forms, proportional integral derivative control (PID), neural-network-based model predictive control (NN-MPC), nonlinear autoregressive moving average (NARMA-L2) and sequential quadratic programming (SQP) were evaluated using the Hovorka model. Due to the fact that modeling of biomedical processes are very complex, to present the most effective control algorithm, various control strategies were needed to application. In the control algorithms, set point tracking and disturbance rejection were performed. With respect to the rise times of the control algorithms, SQP with optimal control had the shortest time, and NARMA-L2 had the longest time. Because the control algorithm connects the glucose meter and the insulin pump in an artificial pancreas, the rise time is the most important parameter. We propose that optimal control with SQP is the most suitable control algorithm to connect the glucose meter and the insulin pump. (C) 2011 The Institution of Chemical Engineers. Published by Elsevier B.V. All rights reserved.en_US
dc.identifier.doi10.1016/j.cherd.2011.10.017
dc.identifier.endpage937en_US
dc.identifier.issn0263-8762
dc.identifier.issn1744-3563
dc.identifier.issue7en_US
dc.identifier.scopus2-s2.0-84862328403en_US
dc.identifier.scopusqualityQ2en_US
dc.identifier.startpage926en_US
dc.identifier.urihttps://doi.org/10.1016/j.cherd.2011.10.017
dc.identifier.urihttps://hdl.handle.net/11616/95687
dc.identifier.volume90en_US
dc.identifier.wosWOS:000306880300009en_US
dc.identifier.wosqualityQ2en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.relation.ispartofChemical Engineering Research & Designen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectBlood glucose control algorithmsen_US
dc.subjectMPCen_US
dc.subjectPIDen_US
dc.subjectNARMA-L2en_US
dc.subjectNN-MPCen_US
dc.subjectSQPen_US
dc.titleComparison of control algorithms for the blood glucose concentration in a virtual patient with an artificial pancreasen_US
dc.typeArticleen_US

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