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• W4313459129 abstract "In the context of closed-loop glycemic control, MPC has shown the skillfulness to improve glucose regulation in patients with type 1 diabetes mellitus (T1DM). To reduce its complexity, many of the proposed control strategies have been designed based on linear time-invariant (LTI) models, without accounting for intraday parametric fluctuations. In this work, a pulsatile Zone Model Predictive Control (pZMPC) is examined under a realistic patterns of intraday insulin sensitivity ( <tex xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>$S_{I}$</tex> ), according to the recent updates of the FDA-approved UVA/Padova simulator. Nominal updates of the postprandial insulin sensitivity are explicitly taken into account in the control-oriented model to improve the glucose predictions. The resulting controller is tested ‘in-silico’ with the FDA-approved UVA/Padova simulator, while its behavior is analyzed by comparing the usual statistical metrics with the corresponding time-invariant configuration. As expected, results show significant improvements, which justifies the (reasonable) increment in the controller complexity." @default.
• W4313459129 created "2023-01-06" @default.
• W4313459129 creator A5006192544 @default.
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• W4313459129 date "2022-11-23" @default.
• W4313459129 modified "2023-10-07" @default.
• W4313459129 title "MPC-based artificial pancreas accounting for circadian variability of insulin sensitivity" @default.
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• W4313459129 doi "https://doi.org/10.1109/icsc57768.2022.9993915" @default.
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