Maximizing batch fermentation efficiency by constrained model‐based optimization and predictive control of adenosine triphosphate turnover-Reference-Cited by-同舟云学术

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Maximizing batch fermentation efficiency by constrained model‐based optimization and predictive control of adenosine triphosphate turnover

Published:2022-01-08 Issue: Volume: Page:
ISSN:0001-1541
Container-title:AIChE Journal
language:en
Short-container-title:AIChE Journal

Author:

Espinel‐Ríos Sebastián¹²^ORCID,Bettenbrock Katja²^ORCID,Klamt Steffen²^ORCID,Findeisen Rolf¹³^ORCID

Affiliation:

1. Laboratory for Systems Theory and Automatic Control Otto von Guericke University Magdeburg Germany

2. Analysis and Redesign of Biological Networks Max Planck Institute for Dynamics of Complex Technical Systems Magdeburg Germany

3. Control and Cyber‐Physical Systems Laboratory Technical University of Darmstadt Darmstadt Germany

Funder

European Research Council

Publisher

Wiley

Subject

General Chemical Engineering,Environmental Engineering,Biotechnology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/aic.17555

Reference57 articles.

1. Grand research challenges for sustainable industrial biotechnology;Straathof AJ;Trends Biotechnol,2019

2. Mechanistic fermentation models for process design, monitoring, and control;Mears L;Trends Biotechnol,2017

3. Monitoring and Control of Bioreactor: Basic Concepts and Recent Advances

4. Model‐based design for biosystems. Control opportunities and discrete‐time modelling challenges;Roman M;IFAC‐PapersOnLine,2018

5. Combining environmental and economic performance for bioprocess optimization;Ögmundarson Ó;Trends Biotechnol,2020

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