Bob Aubouin-Pairault , Mirko Fiacchini , Thao Dang
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引用次数: 0
Abstract
In this paper, a new method to estimate the states and the parameters of the anesthesia process is proposed and compared to a Moving Horizon Estimator (MHE) approach. The proposed method makes use of multiple extended Kalman filters (MEKF) where each EKF uses a different set of system parameters whose selection is based on a predictive performance criterion. In view of usage in a closed loop, the comparison between the two methods is based on a metric quantifying the capability of the estimators to predict the future behavior of the system. The metric is also used as a performance measure for tuning the hyperparameters of the estimators. While the results on simulated data are similar, the MEKF method outperforms MHE on clinical data. Tests show that the MEKF method can better predict the future trajectory of the system during the whole induction, on average for all the patients but also for the worst scenario.
期刊介绍:
This international journal covers the application of control theory, operations research, computer science and engineering principles to the solution of process control problems. In addition to the traditional chemical processing and manufacturing applications, the scope of process control problems involves a wide range of applications that includes energy processes, nano-technology, systems biology, bio-medical engineering, pharmaceutical processing technology, energy storage and conversion, smart grid, and data analytics among others.
Papers on the theory in these areas will also be accepted provided the theoretical contribution is aimed at the application and the development of process control techniques.
Topics covered include:
• Control applications• Process monitoring• Plant-wide control• Process control systems• Control techniques and algorithms• Process modelling and simulation• Design methods
Advanced design methods exclude well established and widely studied traditional design techniques such as PID tuning and its many variants. Applications in fields such as control of automotive engines, machinery and robotics are not deemed suitable unless a clear motivation for the relevance to process control is provided.