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Process control strategies and identification of kinetic parameters based on dynamic optimization

MPS-Authors

Kaiser,  Nicolas Maximilian
Process Systems Engineering, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society;

Hentschel,  Benjamin
Process Systems Engineering, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society;

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Kiedorf,  Gregor
Physical and Chemical Foundations of Process Engineering, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society;

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Jörke,  Andreas
Process Systems Engineering, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society;

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Seidel-Morgenstern,  Andreas
Physical and Chemical Foundations of Process Engineering, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society;
Otto-von-Guericke-Universität Magdeburg, External Organizations;

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Sundmacher,  Kai
Process Systems Engineering, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society;
Otto-von-Guericke-Universität Magdeburg, External Organizations;

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Citation

Gerlach, M., Kaiser, N. M., Hentschel, B., Kiedorf, G., Jörke, A., Hamel, C., et al. (2015). Process control strategies and identification of kinetic parameters based on dynamic optimization. Talk presented at ACHEMA 2015. Frankfurt am Main, Germany. 2015-06-15 - 2015-06-19.


Cite as: https://hdl.handle.net/11858/00-001M-0000-0026-B4CA-7
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