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Number of items: 7.
Article
Quaglio, M;
Waldron, C;
Pankajakshan, A;
Cao, E;
Gavriilidis, A;
Fraga, ES;
Galvanin, F;
(2019)
An online reparametrisation approach for robust parameter estimation in automated model identification platforms.
Computers & Chemical Engineering
, 124
pp. 270-284.
10.1016/j.compchemeng.2019.01.010.
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Quaglio, M;
Waldron, C;
Pankajakshan, A;
Cao, E;
Gavriilidis, A;
Fraga, ES;
Galvanin, F;
(2019)
On the Use of Online Reparametrization in Automated Platforms for Kinetic Model Identification.
Chemie Ingenieur Technik
, 91
(3)
pp. 268-276.
10.1002/cite.201800095.
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Waldron, C;
Pankajakshan, A;
Quaglio, M;
Cao, E;
Galvanin, F;
Gavriilidis, A;
(2019)
Closed-Loop Model-Based Design of Experiments for Kinetic Model Discrimination and Parameter Estimation: Benzoic Acid Esterification on a Heterogeneous Catalyst.
Industrial & Engineering Chemistry Research
, 58
(49)
pp. 22165-22177.
10.1021/acs.iecr.9b04089.
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Waldron, C;
Pankajakshan, A;
Quaglio, M;
Cao, E;
Galvanin, F;
Gavriilidis, A;
(2019)
Model-based design of transient flow experiments for the identification of kinetic parameters.
Reaction Chemistry & Engineering
10.1039/c9re00342h.
(In press).
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Waldron, C;
Pankajakshan, A;
Quaglio, M;
Cao, E;
Galvanin, F;
Gavriilidis, A;
(2019)
An autonomous microreactor platform for the rapid identification of kinetic models.
Reaction Chemistry and Engineering
10.1039/C8RE00345A.
(In press).
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Proceedings paper
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Pankajakshan, A;
Quaglio, M;
Galvanin, F;
(2018)
Experimentally Driven Guaranteed Parameter Estimation: a Way to Speed up Model-Based Design of Experiments Techniques.
In: Friedl, A and Klemeš, JJ and Radl, S and Varbanov, PS and Wallek, T, (eds.)
Proceedings of the 28th European Symposium on Computer Aided Process Engineering.
(pp. pp. 355-360).
Elsevier: Graz, Austria.
(In press).
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Pankajakshan, A;
Quaglio, M;
Waldron, C;
Cao, E;
Gavriilidis, A;
Galvanin, F;
(2018)
Online model-based redesign of experiments for improving parameter precision in continuous flow reactors.
In:
IFAC-PapersOnLine.
(pp. pp. 359-364).
Elsevier: Stockholm, Sweden.
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