文章基本信息

标题：Modelling of glucose-insulin dynamics from low sampled data ⁎
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作者：Tinna B. Aradóttir ; Dimitri Boiroux ; Henrik Bengtsson 等
期刊名称：IFAC PapersOnLine
印刷版ISSN：2405-8963
出版年度：2018
卷号：51
期号：15
页码：551-556
DOI：10.1016/j.ifacol.2018.09.213
语种：English
出版社：Elsevier
摘要：AbstractIn this paper we focus on modelling the glucose-insulin dynamics in the human body for the purpose of controlling the glucose level. Due to the fast dynamics in the glucose-insulin system compared to the natural sampling period (24 h) in a clinical situation, the model structure has to be adapted adequately. This results in a reduced order model with a nonlinear output relation. The development of the estimation methodology is based on a simulation study with a continuous time model. The resulting model structure is used for estimating the parameters of the non-linear system, representing the slow dynamics observed from the slow and sparse sampled clinical data.
关键词：KeywordsSystem identificationreduced order modelsglucose-insulin dynamicsdiabetes control