The manual control of anaesthesia is still the dominant practice during surgery. An increasing number of studies have been conducted to explore the possibility of automating this process. The major difficulty in the design of closed-loop control during anaesthesia is the inherent patient variability due to differences in demographic and drug tolerance. These discrepancies are translated into the differences in pharmacokinetics (PK), and pharmacodynamics (PD). This study develops patient dose-response models and provides an adequate drug administration regimen for the anaesthesia to avoid under or over dosing of the patients. The controllers are designed to compensate for patients inherent drug response variability, to achieve the best output disturbance rejection, and to maintain optimal set point response. The results are evaluated and compared with traditional PID controller. The performance is confirmed in our simulation.
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