Application of MPC incorporating Stochastic Programming to Type 1 diabetes treatment

This paper describes the application of Model Predictive Control incorporating Stochastic Programming to the treatment of Type 1 diabetes. The use of stochastic programming in this context is believed to be important since it addresses one of the key difficulties associated with diabetes treatment namely the inherent uncertainty associated with future food and exercise patterns. Preliminary results are presented, based on real patients, illustrating the advantages of using stochastic model predictive control for this application.

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