Unrestricted.2016-11-142012-11-082016-11-142012-08http://hdl.handle.net/2346/47031To have a better controller, this research applies Partially Observable Markov Decision Process (POMDP) framework to achieve better drug delivery policy, even when there is incomplete information about a patients' current states during a general anesthesia. In this dissertation, a robust POMDP controller model is introduced for better closed-loop anesthesia control. This model is solved using a state-of-the-art POMDP planner to compute for propofol rates to administer to a patient. The new controller is tested on 1000 simulated patients, and performance metrics are analyzed and compared against previously published results.application/pdfengAnesthesia controlPOMDP applicationsClosed-loop propofol controlPOMDP in medicineDissertation