Multiparametric model predictive control and state estimation of the hypnotic component in anesthesia

Abstract

This paper describes multiparametric model predictive control strategies for the control of depth of anaesthesia. Based on a detailed compartmental model featuring a pharmacokinetic and a pharmacodynamics part, two different control strategies are employed: a nominal multiparametric model predictive control and a simultaneous multiparametric moving horizon estimation and model predictive control. The control strategies are tested on a set of 12 patients in the induction and maintenance phase and analyzed comparatively. Moreover the inter-as well as the intra-patient variability is analyzed in detail. The performed simulations show good performances and satisfactory behavior.