A multiparametric model-based optimization and control approach to anaesthesia Conference Paper

abstract

• 2016 Canadian Society for Chemical Engineering In this work we present PAROC, an integrated framework software platform for the development of explicit model predictive controllers, and we apply it to the intravenous anaesthesia process. First, we overview the main features of PAROC, including high-fidelity modelling, state-of-the-art multiparametric optimization techniques, explicit/multiparametric model predictive control strategies, and a closed loop validation step. We then apply PAROC to the anaesthesia process, in particular for the development of explicit/multiparametric model predictive controllers for the induction and maintenance phases of intravenous anaesthesia validated on a set of 12 patients.

authors

• Pistikopoulos, Stratos

published proceedings

• CANADIAN JOURNAL OF CHEMICAL ENGINEERING

author list (cited authors)

• Nascu, I., & Pistikopoulos, E. N.

citation count

• 2

complete list of authors

• Nascu, Ioana||Pistikopoulos, Efstratios N

publication date

• October 2016

publisher

• Wiley  Publisher

published in

• Canadian Journal of Chemical Engineering  Journal

keywords

• Anaesthesia
• Inter-
• Intra-patient Variability
• Multiparametric Model Predictive Control
• Nonlinear

Digital Object Identifier (DOI)

• 10.1002/cjce.22634

start page

• 2125

end page

• 2137

volume

• 94

issue

• 11

URL

• http://dx.doi.org/10.1002/cjce.22634