This paper deals with the application of an Internal Model Control strategy to the regulation of the depth of hypnosis in general anesthesia, when propofol is used as hypnotic drug and the bispectral index scale is used as controlled variable. In particular, the inverse of the Hill function is used to linearize the system and then a standard internal model controller is applied. The internal model control filter time constants are determined by applying a particle swarm optimization algorithm on a set of patient models that describes a wide range of population. The Monte Carlo method is then used to demonstrate the robustness of the controller with respect to intra-patient and inter-patient variability.
Optimized tuning of an IMC scheme for depth of hypnosis control
Merigo L.;Latronico N.;Visioli A.
2019-01-01
Abstract
This paper deals with the application of an Internal Model Control strategy to the regulation of the depth of hypnosis in general anesthesia, when propofol is used as hypnotic drug and the bispectral index scale is used as controlled variable. In particular, the inverse of the Hill function is used to linearize the system and then a standard internal model controller is applied. The internal model control filter time constants are determined by applying a particle swarm optimization algorithm on a set of patient models that describes a wide range of population. The Monte Carlo method is then used to demonstrate the robustness of the controller with respect to intra-patient and inter-patient variability.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
