Computationally efficient NMPC for batch and semi-batch processes using 
parsimonious input parameterization

Aydin, Erdal; Bonvin, Dominique; Sundmacher, Kai

doi:10.1016/j.jprocont.2018.02.012

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Computationally efficient NMPC for batch and semi-batch processes using parsimonious input parameterization

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Aydin, Erdal
Process Systems Engineering, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society;
International Max Planck Research School (IMPRS), Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society;

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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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Aydin, E., Bonvin, D., & Sundmacher, K. (2018). Computationally efficient NMPC for batch and semi-batch processes using parsimonious input parameterization. Journal of Process Control, 66, 12-22. doi:10.1016/j.jprocont.2018.02.012.

Cite as: https://hdl.handle.net/21.11116/0000-0000-ED55-6

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