Key result
An H∞ robust controller successfully maintained robust stability and performance for depth of anesthesia across a bank of patient models in simulation.
A robust H∞ controller for propofol-induced depth of anesthesia can achieve robust stability and performance across a wide range of patient models in simulation.
Hypothesis-generating for robust anesthesia control in simulation; leaves open clinical translation pending human trials.
This paper presents a case study on the design of a robust controller for the depth of anesthesia (DoA) induced by the drug propofol. This process is represented by a linear model together with a non-parametric uncertainty description that is evaluated using a patient model bank with 20 patients undergoing sedation. By using H∞ methods, the controller is aimed to comply with robust stability and performance specifications for the class of patient models considered. A minimization problem of sensitivity and complementary sensitivity is made to design the controller. The controller that results from this procedure is approximated by a controller with a lower order, that in turn is redesigned in discrete time for computer control application. The resulting controller is evaluated in simulations using a realistic nonlinear model of DoA.
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Caiado et al. (2013) studied Depth of anesthesia (n=20). H∞ robust controller for propofol administration was evaluated on Robust stability and performance (reference tracking, disturbance rejection). An H∞ robust controller successfully maintained robust stability and performance for depth of anesthesia across a bank of patient models in simulation.
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