Pulsatile Zone MPC with asymmetric stationary cost for artificial pancreas based on a non-standard IOB constraint

IF 3.3 2区 计算机科学 Q2 AUTOMATION & CONTROL SYSTEMS Journal of Process Control Pub Date : 2024-03-04 DOI:10.1016/j.jprocont.2024.103191
Pablo Abuin , Antonio Ferramosca , Chiara Toffanin , Lalo Magni , Alejandro H. González
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Abstract

This paper presents a novel pulsatile Zone Model Predictive Control (pZMPC) for glycemic control in type 1 diabetic patients, which is an extension of the one presented in literature. Its main characteristics are (i) the explicit inclusion of a time-varying insulin on board constraint to promote a non-zero insulin delivery after a standard bolus infusion and to increase the postprandial system controllability, and (ii) the softening of this constraint to ensure closed-loop stability for an enlarged domain of attraction. Additionally, configuration methods are proposed for the insulin on board constraint based on carb counting regression models and glycemia rate of change information. In-silico results in the FDA-approved UVA/Padova simulator, under over/underestimation of the meal amounts, and under insulin sensitivity variability, show a superiority of the proposed glucose control over postprandial periods.

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基于非标准 IOB 约束的人工胰腺具有非对称固定成本的脉动区 MPC
本文介绍了一种用于 1 型糖尿病患者血糖控制的新型脉动区域模型预测控制(pZMPC),它是对文献中介绍的控制方法的扩展。它的主要特点是:(i) 明确加入了时变胰岛素上机约束,以促进标准栓剂输注后的胰岛素输送不为零,并提高餐后系统的可控性;(ii) 软化该约束,以确保扩大吸引域的闭环稳定性。此外,还提出了基于碳水化合物计数回归模型和血糖变化率信息的机载胰岛素约束配置方法。在美国食品及药物管理局批准的 UVA/Padova 模拟器中,在高估/低估膳食量以及胰岛素敏感性可变的情况下,模拟结果表明所建议的血糖控制方法在餐后血糖控制方面具有优势。
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来源期刊
Journal of Process Control
Journal of Process Control 工程技术-工程:化工
CiteScore
7.00
自引率
11.90%
发文量
159
审稿时长
74 days
期刊介绍: This international journal covers the application of control theory, operations research, computer science and engineering principles to the solution of process control problems. In addition to the traditional chemical processing and manufacturing applications, the scope of process control problems involves a wide range of applications that includes energy processes, nano-technology, systems biology, bio-medical engineering, pharmaceutical processing technology, energy storage and conversion, smart grid, and data analytics among others. Papers on the theory in these areas will also be accepted provided the theoretical contribution is aimed at the application and the development of process control techniques. Topics covered include: • Control applications• Process monitoring• Plant-wide control• Process control systems• Control techniques and algorithms• Process modelling and simulation• Design methods Advanced design methods exclude well established and widely studied traditional design techniques such as PID tuning and its many variants. Applications in fields such as control of automotive engines, machinery and robotics are not deemed suitable unless a clear motivation for the relevance to process control is provided.
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