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  Dynamic modeling of enzyme controlled metabolic networks using a receding time horizon

Lindhorst, H., Reimers, A.-M., & Waldherr, S. (2018). Dynamic modeling of enzyme controlled metabolic networks using a receding time horizon. IFAC-PapersOnLine, 51(18), 203-208.

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Genre: Conference Paper

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 Creators:
Lindhorst, Henning1, 2, Author           
Reimers, Alexandra-M.2, 3, Author
Waldherr, Steffen4, Author
Affiliations:
1International Max Planck Research School (IMPRS), Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society, DE, ou_1738143              
2Otto-von-Guericke-Universität Magdeburg, External Organizations, ou_1738156              
3Department of Mathematics and Computer Science, Freie Universität Berlin, ou_persistent22              
4KU Leuven, Department of Chemical Engineering, ou_persistent22              

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Language(s): eng - English
 Dates: 2018
 Publication Status: Published in print
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1016/j.ifacol.2018.09.300
 Degree: -

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Title: 10th IFAC Symposium on Advanced Control of Chemical Processes - ADCHEM 2018
Place of Event: Shenyang, China
Start-/End Date: 2018-07-25 - 2018-07-27

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Title: IFAC-PapersOnLine
Source Genre: Journal
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Publ. Info: -
Pages: - Volume / Issue: 51 (18) Sequence Number: - Start / End Page: 203 - 208 Identifier: ISSN: 24058963