Robust Batch-to-Batch Optimization with Scenario Adaptation-Reference-Cited by-同舟云学术

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Robust Batch-to-Batch Optimization with Scenario Adaptation

Published:2019-04-17 Issue:30 Volume:58 Page:13664-13674
ISSN:0888-5885
Container-title:Industrial & Engineering Chemistry Research
language:en
Short-container-title:Ind. Eng. Chem. Res.

Author:

Kim Boeun¹,Huusom Jakob K.²,Lee Jay H.¹^ORCID

Affiliation:

1. Department of Chemical and Biomolecular Engineering, Korea Advanced Institute of Science and Technology, 291, Daehak-ro, Yuseong-gu, Daejeon, 34141, Republic of Korea

2. Process and Systems Engineering Centre (PROSYS), Department of Chemical and Biochemical Engineering, Technical University of Denmark, Building 229, DK-2800 Kgs. Lyngby, Denmark

Funder

Ministry of Science, ICT and Future Planning

Innovationsfonden

Publisher

American Chemical Society (ACS)

Subject

Industrial and Manufacturing Engineering,General Chemical Engineering,General Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.iecr.8b06233

Reference39 articles.

1. Control and optimization of batch processes

2. Economic Comparison of Continuous and Batch Production of Biodiesel Using Soybean Oil

3. Dynamic optimization of batch processes

4. Bonvin, D.; Srinivasan, B.; Ruppen, D. Dynamic optimization in the batch chemical industry; 2001.

5. Dynamic optimization of batch processes

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1. Robust batch-to-batch optimization with global sensitivity analysis for microbial fermentation processes under model-plant mismatch;Chemical Engineering Science;2025-01

2. Embedding active learning in batch-to-batch optimization using reinforcement learning;Automatica;2023-11

3. A regularized Moving Horizon Estimator for combined state and parameter estimation in a bioprocess experimental application;Computers & Chemical Engineering;2023-04

4. Objectives, challenges, and prospects of batch processes: Arising from injection molding applications;Korean Journal of Chemical Engineering;2022-12

5. Mean squared error criterion for model-based design of experiments with subset selection;Computers & Chemical Engineering;2022-03

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