文章基本信息

标题：Design of Switched Model Predictive Control Algorithms for a Dual-Hormone Artificial Pancreas ⁎
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作者：Dimitri Boiroux ; Vladimír Bátora ; Zeinab Mahmoudi 等
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