Browsing by Author "Moog, Claude"

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    Impulsive Zone MPC for Type I Diabetic Patients based on a long-term model
    (Ahmad Taher Azar, 2020-02-01) González, Alejandro; Rivadeneira, Pablo; Ferramosca, Antonio; Magdelaine, Nicolas; Moog, Claude
    In this work the problem of regulating glycemia in type I diabetic patients is studied by means of an impulsive zone model predictive control (impulsive ZMPC) based on a novel long-term glucoseinsulin model. Taking advantage of the model - which features real life properties of diabetes patients that some other popular models do not - the proposed control ensures the stability under moderate-tosevere disturbances. A long-term scenario - including meals - are simulated, and the results appear to be satisfactory as long as every hyperglycemia and hypoglycemia episodes are suitably controlled.
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    Stable impulsive zone model predictive control for type 1 diabetic patients based on a long‐term model
    (2020-07-13) González, Alejandro; Rivadeneira, Pablo; Ferramosca, Antonio; Magdelaine, Nicolas; Moog, Claude
    In this work, the problem of regulating blood glucose (glycemia) in type I diabetic patients is studied by means of an impulsive zone model predictive control (iZMPC), which bases its predictions on a novel long‐term glucose‐insulin model. Taking advantage of the impulsive version of the model—which features real‐life properties of diabetes patients that some other popular models do not—the given control guarantees the stability under moderate‐to‐severe plant‐model mismatch and disturbances. Long‐term scenarios—including meals and physiological parameter variations—are simulated and the results are satisfactory as every hyperglycemic and hypoglycemic episodes are suitably controlled.