The most widespread approach for glycemic control in diabetic patients is the so-called basal-bolus insulin regimen, comprising insulin injections at meal times, correction doses in hyperglycemia and compensatory carbohydrate in case of insulin-induced hypoglycemia. The present contribution represents an attempt at implementing such a strategy on a population of 4 virtual, i.e., in-silico, T1DM patients. Low-order physiologically sound transfer function models were estimated for each of the in-silico subjects from simulated data and exploited in an optimization-based control algorithm, the objective being sustainment of glycemia in the near-normal range (70–180 [mg/dL]).

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