Implementation of Model Predictive Control for Glucose Regulation on a General Purpose Microprocessor

In order to effectively control nonlinear and multivariable models, and to incorporate constraints on system states, inputs and outputs (bounds, rate of change), a suitable (sometimes necessary) controller is Model Predictive Control (MPC), also known as receding horizon control and moving horizon control. For processes with slow dynamics and low sampling rates, MPC is typically implemented on a dedicated workstation. In this work we present the implementation of MPC on a general-purpose processor, providing a low-cost, low-power consumption and small in size implementation. In order to test the performance of the embedded MPC we examine a glucose regulation problem. Additionally, profiling results of the performance of the processor are provided.