Optimal Control Applications and Methods · 2020 · 35 citations · 27 references
MedicineEndocrinologyDiabetologyDynamical SystemsMetabolic RegulationDiabetes ControlDiabetes ManagementDiabetes MellitusGlucose HomeostasisGlycemic ControlModel Predictive ControlBlood Glucose RegulationGlycemic TargetsImpulsive ControlType 1 Diabetes Models
Summary 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.
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Richard N. Bergman, Lawrence S. Phillips, Claudio Cobelli · Journal of Clinical Investigation · 1981 · 1.6K citations · Full text
Medicine, Endocrinology, Physiology +16
MPC for tracking piecewise constant references for constrained linear systems
Daniel Limón, I. Alvarado, Teodoro Álamo et al. · Automatica · 2008 · 512 citations
Diabetes: Models, Signals, and Control
Claudio Cobelli, Chiara Dalla Man, Giovanni Sparacino et al. · IEEE Reviews in Biomedical Engineering · 2009 · 496 citations · Full text