Robust Optimizing Control of Fermentation Processes Based on a Set of Structurally Different Process Models-Reference-Cited by-同舟云学术

Robust Optimizing Control of Fermentation Processes Based on a Set of Structurally Different Process Models

Published:2020-01-02 Issue:6 Volume:59 Page:2566-2580
ISSN:0888-5885
Container-title:Industrial & Engineering Chemistry Research
language:en
Short-container-title:Ind. Eng. Chem. Res.

Author:

Hebing Lukas¹^ORCID,Tran Florian²,Brandt Heiko¹,Engell Sebastian³

Affiliation:

1. Bayer AG, 51368 Leverkusen, Germany

2. io-consultants GmbH & Co. KG, Speyerer Straße 14, 69115 Heidelberg, Germany

3. TU Dortmund University, 44221 Dortmund, Germany

Funder

Bayer

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.9b05504

Reference44 articles.

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4. Dynamic metabolic modelling under the balanced growth condition

5. Provost, A.; Bastin, G.; Agathos, S. N.; Schneider, Y.J. Metabolic design of macroscopic models: Application to CHO cells. Decision and Control. In European Control Conference, CDC-ECC’05. 44th IEEE Conference, Seville, Spain, 2005; pp 2982–2989.

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