Simultaneus Estimation and Control of Glucose-Insulin Dynamics in Type-1 Diabetes

This paper proposes an observer-controller configuration for the well-known Hovarka Glucose-Insulin dynamics. The aim is to control the blood glucose level without measuring the states in the Hovarka model. In order that nonlinear model predictive control is designed to control the blood glucose level by considering the random inertial glucose inputs under external insulin inputs. For the estimation, a Cubature Kalman filter is designed to estimate the states. Numerical computations are conducted under random glucose inputs from the meals where the applied observer-controller configuration provides blood glucose control without measuring the states. As a result, by using a single subcutaneous glucose measurement, the Hovarka glucose-insuling dynamics can be controlled for a possible portable device in future. © 2019 IEEE.