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  • 标题:Artificial pancreas under periodic MPC for trajectory tracking: handling circadian variability of insulin sensitivity
  • 本地全文:下载
  • 作者:Pablo Abuin ; Antonio Ferramosca ; Chiara Toffanin
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2022
  • 卷号:55
  • 期号:16
  • 页码:196-201
  • DOI:10.1016/j.ifacol.2022.09.023
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractClosed-loop glycemic control algorithms have demonstrated the ability to improve glucose regulation in patients with type 1 diabetes mellitus (T1D), both in silico and clinical trials. Many of the proposed control strategies have been developed, based on time-invariant linear models, without considering the parametric variations of T1DM subjects. In this work, a pulsatile Zone Model Predictive Control (pZMPC) is proposed, which explicitly considers patterns of intra-day insulin sensitivity (SI), according to the latest updates of the FDA-approved UVA/Padova simulator. Results show a significant improvement in the performance, whicha-priorijustifies the increment in the controller complexity.
  • 关键词:KeywordsInsulin sensitivity variationstrajectory trackingMPCArtificial Pancreas
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