Abstract: Anesthesia is not only important for surgery but also for intensive care. The anesthetic agent, e.g., a barbiturate is administered intravenous anesthesia to effect. Intravenous anesthesia provides rapid onset, stable maintenance and rapid recovery compared with inhaled anesthetics. The aim of this research was to investigate a reliable and safe controller for delivering automatic intravenous anesthesia system using simulated closed-loop control technology. Drug effect is measured during drug infusion in Closed Loop Anesthesia (CLAN). This may provide superior safety, better patient care and better quality of anesthesia whilst relieving the clinician of the need to make recurrent and minor alterations to drug administration. A new and generic mathematical model (Pharmaco Kinetic/Pharmaco Dynamics PK/PD) of the drug behavior inside the body was used in simulation of closed-loop control drug pumping. Deadbeat controller is used to control the drug pumping using the PK/PD patient’s drug effect model and different parameters were investigated to determine their effects on the final response of the patient to the anesthesia. The investigated parameters are different levels limiter to limit the control signal (drug infusion) and the number of the digital bits used in the digital controller that affect the performance of the anesthesia system. These investigating lead to the best values which give best results. The CLAN system was tested using published data of virtual patients modeled. MATLAB\R2015 is used to simulate the proposed controller trying to reduce the dependency on external sensors as a feedback to the control system. The results were very optimistic which lead us to continue the work in the future using different controllers at a certain sequence to enhance the overall intravenous anesthesia performance.