Testing PFC Controller On A Well Validated In Silico Model of a Type I Diabetic Patient

Diabetes technology has been focused since three decades ago on developing the artificial páncreas through several closed-loop control algorithms linking glucose measurements and insulin delivery. This work is focused on rigorously analyzing the Predictive Functional Control (PFC) algorithm capabilities for deciding about the correct insulin dosage under everyday circumstances.The study is done by applying the PFC in a recently developed model of the endocrine system, approved by the FDA in 2008, as a substitute to animal trial. The platform used here consists only of a limited number of patients: 10 children, 10 adolescents, and 10 adults. To realistically represent the full closed loop system, a model of a subcutaneous glucose sensor was added and the constraints related to the insulin pump was taken into account by the predictive controller.The performance of the controller, with and without the sensor model, was evaluated by means of the Control Variability Grid Analysis (CVGA) technique and the results were satisfactory in all patients.