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  Data-driven quadratic modeling in the Loewner framework from input-output time-domain measurements

Karachalios, D., Gosea, I. V., Gkimisis, L., & Antoulas, A. C. (in preparation). Data-driven quadratic modeling in the Loewner framework from input-output time-domain measurements.

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Item Permalink: https://hdl.handle.net/21.11116/0000-000B-9C4B-2 Version Permalink: https://hdl.handle.net/21.11116/0000-000F-3072-A
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 Creators:
Karachalios, Dimitrios1, 2, Author           
Gosea, Ion Victor1, Author           
Gkimisis, Leonidas3, Author           
Antoulas, Athanasios C.1, 4, 5, Author           
Affiliations:
1Max Planck Fellow Group for Data-Driven System Reduction and Identification, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society, ou_2453691              
2University of Luebeck, ou_persistent22              
3Computational Methods in Systems and Control Theory, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society, ou_1738141              
4Rice University, ou_persistent22              
5Baylor College of Medicine, ou_persistent22              

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 Dates: 2024-04-15
 Publication Status: Not specified
 Pages: 29 pages, 7 figures
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 Rev. Type: -
 Identifiers: arXiv: 2211.10635v1
arXiv: 2211.10635v2
DOI: 10.48550/arXiv.2211.10635
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