Multiparametric model predictive control strategies of the hypnotic component in intravenous anesthesia
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2016 IEEE. This paper presents the development of multiparametric model predictive control strategies for the control of the hypnotic part of the depth of anaesthesia. Based on a detailed compartmental model featuring a pharmacokinetic and a pharmacodynamic part, two different control strategies are employed and tested comparatively with the nominal mp-MPC. The designed strategies: a simultaneous multiparametric moving horizon estimation and model predictive control and a multiparametric model predictive control using a switch for the administration of the drug infusion, are able to tackle some of the most important challenges in control of anaetshesia. The performances of the designed controllers are tested on a set of 12 patients in the induction and maintenance phase and analyzed comparatively. The simulations show good performances and satisfactory behavior.
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2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC)
