Why the study?
The problem of regulating blood glucose in type 1 diabetic patients was studied using an impulsive zone model predictive control based on a novel long-term glucose-insulin model.
Does an impulsive zone model predictive control (iZMPC) based on a long-term glucose-insulin model improve blood glucose regulation in simulated type 1 diabetic patients?
Does an impulsive zone model predictive control (iZMPC) based on a long-term glucose-insulin model improve blood glucose regulation in simulated type 1 diabetic patients?
An impulsive zone model predictive control approach demonstrates theoretical stability and effective glucose regulation in simulated long-term scenarios for type 1 diabetes.
iZMPC shows simulation stability for T1D glucose control; hypothesis-generating and should not yet change clinical practice.
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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González et al. (2020) studied this question.
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