Linearized Receding Horizon Model Predictive Controller Design to Regulate Glucose in Type 1 Diabetic Patients

Abstract

This paper shows the effectiveness of receding horizon based model predictive control (RHMPC) for regulating blood glucose level in type 1 diabetic patient. For the purpose, the nonlinear model of type 1 diabetes mellitus is considered. The model is then linearized and discretized to apply discrete model predictive concept. MATLAB 2018 is used for simulation purpose. The performance of RHMPC is compared with existing result. The robustness of the proposed method is shown for randomly chosen value of the parameters and random meal disturbance. The performance of proposed scheme shows better result than existing one.