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View article: An optimal experimental design framework for fast kinetic model identification based on artificial neural networks
An optimal experimental design framework for fast kinetic model identification based on artificial neural networks Open
The development of mathematical models to describe reaction kinetics is crucial in process design, control, and optimisation. However, distinguishing between different candidate kinetic models presents a non-trivial challenge. Recent works…
View article: An Optimal Experimental Design Framework for Fast Kinetic Model Identification Based on Artificial Neural Networks
An Optimal Experimental Design Framework for Fast Kinetic Model Identification Based on Artificial Neural Networks Open
View article: Model-based design of transient flow experiments for the identification of kinetic parameters
Model-based design of transient flow experiments for the identification of kinetic parameters Open
Rapid and precise estimation of kinetic parameters is facilitated by transient flow experiments designed using model-based design of experiments.
View article: A Multi-Objective Optimal Experimental Design Framework for Enhancing the Efficiency of Online Model Identification Platforms
A Multi-Objective Optimal Experimental Design Framework for Enhancing the Efficiency of Online Model Identification Platforms Open
Recent advances in automation and digitization enable the close integration of physical devices with their virtual counterparts, facilitating the real-time modeling and optimization of a multitude of processes in an automatic way. The rich…
View article: Identification of kinetic models of methanol oxidation on silver in the presence of uncertain catalyst behavior
Identification of kinetic models of methanol oxidation on silver in the presence of uncertain catalyst behavior Open
Catalytic oxidation of methanol to formaldehyde is an important industrial process due to the value of formaldehyde either as a final product or as a precursor of numerous chemicals. The study of kinetics in this system is hindered by sour…
View article: An autonomous microreactor platform for the rapid identification of kinetic models
An autonomous microreactor platform for the rapid identification of kinetic models Open
Rapid estimation of kinetic parameters with high precision is facilitated by automation combined with online Model-Based Design of Experiments.
View article: Constrained model-based design of experiments for the identification of approximated models
Constrained model-based design of experiments for the identification of approximated models Open
The identification of an approximated model, once an opportune mathematical structure is selected, requires both a precise estimation of its parameters and the determination of the range of conditions in which the model provides accurate p…
View article: Online model-based redesign of experiments for improving parameter precision in continuous flow reactors
Online model-based redesign of experiments for improving parameter precision in continuous flow reactors Open
Online model-based redesign of experiments (OMBRE) techniques reduce the experimental effort substantially for achieving high model reliability along with the precise estimation of model parameters. In dynamic systems, OMBRE techniques all…