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Reduced-Order Modeling and ROM-Based Optimization of Batch Chromatography

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Benner,  Peter
Computational Methods in Systems and Control Theory, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society;

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Feng,  Lihong
Computational Methods in Systems and Control Theory, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society;

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Li,  Suzhou
Computational Methods in Systems and Control Theory, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society;

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Zhang,  Yongjin
Computational Methods in Systems and Control Theory, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society;

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Benner, P., Feng, L., Li, S., & Zhang, Y. (2015). Reduced-Order Modeling and ROM-Based Optimization of Batch Chromatography. In A. Abdulle, S. Deparis, D. Kressner, F. Nobile, & M. Picasso (Eds.), Numerical Mathematics and Advanced Applications - ENUMATH 2013 (pp. 427-435). Cham: Springer International Publishing.


Cite as: https://hdl.handle.net/11858/00-001M-0000-0024-65F3-E
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