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  • 标题:Design of Switched Model Predictive Control Algorithms for a Dual-Hormone Artificial Pancreas ⁎
  • 本地全文:下载
  • 作者:Dimitri Boiroux ; Vladimír Bátora ; Zeinab Mahmoudi
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2018
  • 卷号:51
  • 期号:27
  • 页码:174-179
  • DOI:10.1016/j.ifacol.2018.11.647
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractIn this paper, we evaluate the closed-loop performance of two switching strategies for a dual-hormone artificial pancreas (AP). The dual-hormone AP administers insulin and glucagon subcutaneously. Since insulin and glucagon have opposite effects, we want to avoid simultaneous injections of these two hormones. To handle non-simultaneous injections of insulin and glucagon, we compare model predictive control (MPC) algorithms using a hysteresis switch between insulin and glucagon controllers with a multiple-input single-output (MISO) formulation. Although the closed-loop performance of these two control strategies is similar, the hysteresis switch is preferable due to (i) its greater flexibility in control design and tuning and (ii) a more straightforward way to avoid simultaneous injections of insulin and glucagon.
  • 关键词:KeywordsDual hormone artificial pancreasdiabetes technologytype 1 diabetesmodel predictive control
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