Robust Reduced-Order Model Based Postprandial Glucose Regulation in Type-1 Diabetes: An IMC Approach

Abstract

The treatment of Type 1 diabetes using the artificial pancreas (AP) is considered one of the safety-critical and challenging control problems. The control law should be easily implemented with low complexity and good regulatory performances. In view of this, the present paper proposes a new model-based feedback regulation strategy in which the control-oriented insulin-glucose regulation system is simplified in such a way that the performance of the reduced-order model matches with the actual version. The dominant pole retention-like methodology is applied to obtain the reducedorder model. Now, based on the obtained reduced model, the internal model control (IMC) approach is employed to design a PI controller. Simulation studies have been conducted on the virtual patient and the applied approach produces satisfactory responses in presence of meal ingestion. The applied approach is also robust against model uncertainties.