A Combined Estimation and Multi-Parametric Model Predictive Control Approach for Intravenous Anaesthesia Conference Paper

abstract

• 2014 IEEE. This paper describes a strategy for the control of intravenous depth of anaesthesia (DOA). Based on a mathematical model of the system, global sensitivity analysis is first presented to determine the relative influence of the uncertain pharmacokinetic and pharmacodynamic parameters and variables. Then estimation techniques are applied for the key parameters that cannot be measured directly, combined with a multi-parametric/explicit model predictive control strategy. The two estimation strategies: A Kalman filter and multi-parametric moving horizon estimation are employed and tested on a set of twelve patients.

name of conference

• 2014 IEEE International Conference on Systems, Man, and Cybernetics (SMC)

authors

• Pistikopoulos, Stratos

published proceedings

• 2014 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN AND CYBERNETICS (SMC)

author list (cited authors)

• Nascu, I., Lambert, R., & Pistikopoulos, E. N.

citation count

• 6

complete list of authors

• Nascu, Ioana||Lambert, Romain SC||Pistikopoulos, Efstratios N

publication date

• October 2014

publisher

• Institute of Electrical and Electronics Engineers (IEEE)  Publisher

published in

• Conference proceedings / IEEE International Conference on Systems, Man, and Cybernetics. IEEE International Conference on Systems, Man, and Cybernetics  Journal

keywords

• Anaesthesia
• Inter-patient Variability
• Mp-mhe
• Mp-mpc
• Sensitivity Analysis

Digital Object Identifier (DOI)

• 10.1109/smc.2014.6974295

start page

• 2458

end page

• 2463

volume

• 2014-January

issue

• January

URL

• http://dx.doi.org/10.1109/smc.2014.6974295