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  Efficient Model Reduction of SMB Chromatography by Krylov-subspace Method with Application to Uncertainty Quantification

Yue, Y., Feng, L., Seidel-Morgenstern, A., & Benner, P. (2014). Efficient Model Reduction of SMB Chromatography by Krylov-subspace Method with Application to Uncertainty Quantification. In 24th European Symposium on Computer Aided Process Engineering (pp. 925-930).

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Item Permalink: http://hdl.handle.net/11858/00-001M-0000-0019-F497-4 Version Permalink: http://hdl.handle.net/11858/00-001M-0000-0024-ABBD-F
Genre: Conference Paper

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 Creators:
Yue, Yao1, Author              
Feng, Lihong1, Author              
Seidel-Morgenstern, Andreas2, Author              
Benner, Peter1, Author              
Affiliations:
1Computational Methods in Systems and Control Theory, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society, ou_1738141              
2Physical and Chemical Foundations of Process Engineering, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society, ou_1738150              

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 Dates: 2014
 Publication Status: Published in print
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Title: 24th European Symposium on Computer Aided Process Engineering - ESCAPE
Place of Event: Budapest, Ungarn
Start-/End Date: 2014-06-15 - 2014-06-18

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Title: 24th European Symposium on Computer Aided Process Engineering
Source Genre: Proceedings
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Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 925 - 930 Identifier: -

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Title: Computer Aided Chemical Engineering
Source Genre: Series
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Pages: - Volume / Issue: 33 Sequence Number: - Start / End Page: - Identifier: -