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Journal Article

Model Reduction for Linear Simulated Moving Bed Chromatography Systems Using Krylov-Subspace Methods

MPS-Authors
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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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Yue,  Yao
Computational Methods in Systems and Control Theory, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society;

/persons/resource/persons86622

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

/persons/resource/persons86253

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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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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Citation

Li, S., Yue, Y., Feng, L., Benner, P., & Seidel-Morgenstern, A. (2014). Model Reduction for Linear Simulated Moving Bed Chromatography Systems Using Krylov-Subspace Methods. AIChE-Journal, 60(11), 3773 -3783. doi:10.1002/aic.14561.


Cite as: https://hdl.handle.net/11858/00-001M-0000-0023-DCD7-E
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