Title: An economic objective for optimal experiment design of nonlinear dynamic processes
Authors: Houska, Boris ×
Telen, Dries
Logist, Filip
Diehl, Moritz
Van Impe, Jan #
Issue Date: Jan-2015
Publisher: Pergamon Press
Series Title: Automatica vol:51 pages:98-103
Abstract: State-of-the-art formulations of optimal experiment design problems are typically based on a design criterion which allows us to optimize a scalar map of the predicted variance–covariance matrix of the parameter estimate. Famous examples for such scalar objectives are the A-criterion, the E-criterion, or the D-criterion, which aim at minimizing the trace, maximum eigenvalue, or determinant of the variance–covariance matrix. In this paper, we propose a different way of deriving an economic design criterion for the optimal experiment design. Here, the corresponding analysis is based on the assumption that our ultimate goal is to solve an optimization problem with a given economic objective that depends on uncertain parameters, which have to be estimated by the experiment. We illustrate the approach by studying a fedbatch bioreactor.
ISSN: 0005-1098
Publication status: published
KU Leuven publication type: IT
Appears in Collections:Bio- & Chemical Systems Technology, Reactor Engineering and Safety Section
Sustainable Chemical Process Technology TC, Technology Campus De Nayer Sint-Katelijne-Waver
Sustainable Chemical Process Technology TC
× corresponding author
# (joint) last author

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