Driving blood glycaemia from hyperglycaemia to euglycaemia as fast as possible while avoiding hypoglycaemia is a major problem for decades for type-1 diabetes and is solved in this study. A control algorithm is designed that guaranties hypoglycaemia avoidance for the first time both from the theory of positive systems point of view and from the most pragmatic clinical practice. The solution consists of a state feedback control law that computes the required hyperglycaemia correction bolus in real-time to safely steer glycaemia to the target. A rigorous proof is given that shows that the control-law respects the positivity of the control and of the glucose concentration error: as a result, no hypoglycaemic episode occurs. The so-called hypo-free strategy control is tested with all the UVA/Padova T1DM simulator patients (i.e. ten adults, ten adolescents, and ten children) during a fasting-night scenario and in a hybrid closed-loop scenario including three meals. The theoretical results are assessed by the simulations on a large cohort of virtual patients and encourage clinical trials.

中文翻译：

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无低血糖人工胰腺项目。

在避免低血糖的同时，尽可能快地将血糖从高血糖驱动到正常血糖是 1 型糖尿病几十年来的一个主要问题，并且在本研究中得到了解决。首次设计了一种控制算法，无论是从阳性系统理论的角度还是从最实用的临床实践来看，都可以保证避免低血糖。该解决方案包括一个状态反馈控制律，它实时计算所需的高血糖校正推注，以安全地将血糖控制到目标。给出了一个严格的证据，表明控制定律尊重控制和葡萄糖浓度误差的积极性：因此，不会发生低血糖事件。对所有 UVA/Padova T1DM 模拟患者（即 10 名成人，十个青少年和十个儿童）在禁食夜场景和包括三餐的混合闭环场景中。理论结果通过对大量虚拟患者的模拟进行评估，并鼓励临床试验。