Adaptive feedback control based artificial pancreas

In this paper, an adaptive control method is developed for the design of an artificial pancreas in the presence of patient insulin-glucose characteristic, actuation disturbance and feedback sensor uncertainties. A feedback control law is used to regulate the patientpsilas blood glucose level, and an adaptive law is derived to update the controller parameters to accommodate the system uncertainties. An adaptive estimate of the system output is employed for feedback control. Adaptive control schemes are developed and analyzed for both known and unknown insulin-glucose dynamics. A simulation study is presented to demonstrate the system performance.