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  Low-Complexity Linear Parameter-Varying Approximations of Incompressible Navier-Stokes Equations for Truncated State-Dependent Riccati Feedback

Heiland, J., & Werner, S. W. R. (2023). Low-Complexity Linear Parameter-Varying Approximations of Incompressible Navier-Stokes Equations for Truncated State-Dependent Riccati Feedback. IEEE Control Systems Letters, 7, 3012-3017. doi:10.1109/LCSYS.2023.3291231.

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Item Permalink: https://hdl.handle.net/21.11116/0000-000C-CFB0-4 Version Permalink: https://hdl.handle.net/21.11116/0000-000E-7B2F-5
Genre: Journal Article

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 Creators:
Heiland, Jan1, 2, Author           
Werner, Steffen W. R.3, Author
Affiliations:
1Computational Methods in Systems and Control Theory, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society, ou_1738141              
2Otto-von-Guericke-Universität Magdeburg, External Organizations, ou_1738156              
3Courant Institute, ou_persistent22              

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 Dates: 2023-03-202023
 Publication Status: Issued
 Pages: -
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 Table of Contents: -
 Rev. Type: Peer
 Identifiers: arXiv: 2303.11515
DOI: 10.1109/LCSYS.2023.3291231
Other: pubdata_escidoc:3501150
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Title: IEEE Control Systems Letters
  Other : L-CSS
Source Genre: Journal
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Publ. Info: New York, NY : IEEE
Pages: - Volume / Issue: 7 Sequence Number: - Start / End Page: 3012 - 3017 Identifier: ISSN: 2475-1456
CoNE: https://pure.mpg.de/cone/journals/resource/2475-1456