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Publication Detail
On the Use of Online Reparametrization in Automated Platforms for Kinetic Model Identification
Abstract
© 2019 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim Parameter estimation algorithms integrated in automated platforms for kinetic model identification are required to solve two optimization problems: i) a parameter estimation problem given the available samples; ii) a model-based design of experiments problem to select the conditions for collecting future samples. These problems may be ill-posed, leading to numerical failures when optimization routines are applied. In this work, an approach of online reparametrization is introduced to enhance the robustness of model identification algorithms towards ill-posed parameter estimation problems.
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Dept of Chemical Engineering
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Dept of Chemical Engineering
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Dept of Chemical Engineering
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