Insulin Administration for People with Type 1 diabetes

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In this paper, we apply model predictive control (MPC) for control of blood glucose in people with type 1 diabetes. The two first control strategies are based on nonlinear model predictive control (NMPC). The first control strategy is based on meal announcement in advance, while the second one considers meal announcement at mealtimes only. They give a quantitative upper bound on the achievable control performance. The third control strategy is a feedforward-feedback control strategy. This strategy uses a time-varying setpoint to reduce the risk of hypoglycemia. The feedback controller computes the optimal basal insulin infusion rate. The feedforward controller consists of a bolus calculator. It computes the optimal bolus, along with the time-varying glucose setpoint. We test these three strategies on a virtual patient with type 1 diabetes. The numerical results demonstrate the robustness of the last control strategy with respect to changes in the model parameters and incorrect meal announcement.
Original languageEnglish
Title of host publication21st European Symposium on Computer-Aided Process Engineering
Number of pages2029
Publication date2011
ISBN (Print)978-0-444-53895-6
Publication statusPublished - 2011
Event21st European Symposium on Computer Aided Process Engineering - Chalkidiki, Greece
Duration: 29 May 20111 Jun 2011


Conference21st European Symposium on Computer Aided Process Engineering
Internet address
SeriesComputer Aided Chemical Engineering


  • Type 1 diabetes
  • Feedforward-feedback control
  • Nonlinear model predictive control


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