Markakis Mihalis G, Mitsis Georgios D, Papavassilopoulos George P, Marmarelis Vasilis Z
Electrical Engineering&Computer Science Department, Massachusetts Institute of Technology, USA.
Annu Int Conf IEEE Eng Med Biol Soc. 2008;2008:5466-9. doi: 10.1109/IEMBS.2008.4650451.
This computational study demonstrates the efficacy of regulating blood glucose in Type 1 diabetics with a Model Predictive Control strategy, utilizing a nonparametric / Principal Dynamic Modes model. For this purpose, a stochastic glucose disturbance signal is introduced and a simple methodology for predicting its future values is developed. The results of our simulations confirm that the proposed algorithm achieves very good performance, is computationally efficient and avoids hypoglycaemic events.