Habituating multiple model predictive control for blood glucose regulation in the ICU

A habituating multiple model predictive controller (MMPC) is developed by combining the habituating model predictive control law and multiple-model Kalman filter predictor. The habituating control is applied to blood glucose regulation in the intensive care unit, and includes both IV glucose input and IV insulin infusion in order to provide nutrition supply and improve disturbance rejection. The performance of Habituating MMPC is compared with Habituating MPC, SISO MMPC and SISO MPC on their ability to regulate BG for the fifteen in silico patients and to reject insulin sensitivity variation. The simulation results indicate that the Habituating MMPC strategy outperforms the other three control strategies by providing the tightest glucose control for a patient population, and producing the least amount of glucose variability while rejecting disturbances in insulin sensitivity.