Development of a model predictive controller for an artificial pancreas

Introduction·. Type 1 diabetes occurs when beta cells are destroyed by the body's own immune system. Treatment of type 1 diabetes mellitus could be greatly improved by applying a closed-loop control strategy to insulin delivery, also known as an Artificial Pancreas (AP). Method: In this paper we present a new formulation of the cost function for an MPC utilizing a technic which accelerate the speed of control of the AP and tackle the nonlinearity of the control problem via asymmetric objective functions. Finding: The finding of this work consist on a new Model Predictive Control algorithm that lead to good performances like decreasing the time of hyperglycaemia and avoiding hypoglycaemia. Conclusion: This performances are validated under in silico trials.