Design of Dynamic Experiments: A Data-Driven Methodology for the Optimization of Time-Varying Processes-Reference-Cited by-同舟云学术

Design of Dynamic Experiments: A Data-Driven Methodology for the Optimization of Time-Varying Processes

Published:2013-05-22 Issue:35 Volume:52 Page:12369-12382
ISSN:0888-5885
Container-title:Industrial & Engineering Chemistry Research
language:en
Short-container-title:Ind. Eng. Chem. Res.

Author:

Georgakis Christos¹

Affiliation:

1. Department of Chemical and Biological Engineering and Systems Research Institute for Chemical and Biological Processes, Tufts University, Medford, Massachusetts 02155, United States

Publisher

American Chemical Society (ACS)

Subject

Industrial and Manufacturing Engineering,General Chemical Engineering,General Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/ie3035114

Reference20 articles.

1. Use of tendency models and their uncertainty in the design of state estimators for batch reactors

2. Effect of process-model mismatch on the optimization of the catalytic epoxidation of oleic acid using Tendency models

3. Uncertainty issues in the modeling and optimization of batch reactors with tendency models

4. Tendency modeling of semibatch reactors for optimization and control

5. MODELING AND OPTIMIZATION OF LACTIC ACID SYNTHESIS BY THE ALKALINE DEGRADATION OF FRUCTOSE IN A BATCH REACTOR

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