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

Lindhorst, Henning; Reimers, Alexandra-M.; Waldherr, Steffen

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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. Talk presented at 10th IFAC Symposium on Advanced Control of Chemical Processes - ADCHEM 2018. Shenyang, China. 2018-07-25 - 2018-07-27.

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Item Permalink: https://hdl.handle.net/21.11116/0000-0006-99A2-6 Version Permalink: https://hdl.handle.net/21.11116/0000-0006-AEA0-1

Genre: Talk

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Creators:
Lindhorst, Henning^{1, 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: Created: 2018

Publication Status: Not specified

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Rev. Type: Peer

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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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