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Model Predictive Control of blood glucose in Type 1 diabetes: the Principal Dynamic Modes approach
Mihalis G Markakis1, Georgios D Mitsis, George P Papavassilopoulos
1Electrical Engineering&Computer Science Department, Massachusetts Institute of Technology, USA. mihalis@mit.edu
Abstract:
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.
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