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Stable impulsive zone model predictive control for type 1 diabetic patients based on a long‐term model

Alejandro H. González, Pablo S. Rivadeneira, Antonio Ferramosca, Nicolas Magdelaine, Claude H. Moog

2020Optimal Control Applications and Methods35 citationsDOIOpen Access PDF

Abstract

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.

Topics & Concepts

Model predictive controlTerm (time)Control theory (sociology)Stability (learning theory)Control (management)InsulinDiabetes mellitusMedicineMathematicsComputer scienceInternal medicineEndocrinologyArtificial intelligenceMachine learningPhysicsQuantum mechanicsAdvanced Control Systems OptimizationDiabetes Management and ResearchCardiovascular Function and Risk Factors
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