This chapter proposes five continuous sliding-mode control algorithms to regulate blood glucose levels in critically ill patients affected with Type 1 Diabetes MellitusType 1 Diabetes Mellitus. All the controllers deal with uncertainties from intrapatient and interpatient variabilityInterpatient variability and external disturbances such as food intakeFood-intake. The proposed schemes do not require meal announcements or patient individualization. The blood glucose measurement and insulin infusion are intravenous. The control objective is to regulate the blood glucose in a normoglycemia range, i.e., 70–180 (mg/dl). The approach is validated in the UVA/PadovaUVA/Padova metabolic simulatorMetabolic simulator for ten in silicoadultIn silico patients. The results show excellent performance and minimal risk of hyperglycemia and hypoglycemia events for every sliding-mode algorithm. A quantitative analysis is carried out to shed light on the controller’s performance. To this aim, we consider several indexes regarding blood glucose regulation and the control signal energy. In addition, simulations using a standard (open-loop) protocol used at ICUIntensive Care Unit  highlight the workload alleviation obtained with any SMC.


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    Titel :

    Blood Glucose Regulation for Type 1 Diabetic Patients at Intensive Care Unit via Continuous Sliding-Mode Algorithms


    Weitere Titelangaben:

    Studies in Systems, Decision and Control


    Beteiligte:
    Oliveira, Tiago Roux (Herausgeber:in) / Fridman, Leonid (Herausgeber:in) / Hsu, Liu (Herausgeber:in) / Franco, Roberto (Autor:in) / Ríos, Héctor (Autor:in) / Ferreira de Loza, Alejandra (Autor:in) / Cassany, Louis (Autor:in) / Gucik-Derigny, David (Autor:in) / Cieslak, Jérôme (Autor:in) / Henry, David (Autor:in)


    Erscheinungsdatum :

    01.11.2023


    Format / Umfang :

    32 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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