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

Karachalios, Dimitrios; Gosea, Ion Victor; Gkimisis, Leonidas; Antoulas, Athanasios C.

doi:10.48550/arXiv.2211.10635

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

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Karachalios, Dimitrios
Max Planck Fellow Group for Data-Driven System Reduction and Identification, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society;
University of Luebeck;

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Gosea, Ion Victor
Max Planck Fellow Group for Data-Driven System Reduction and Identification, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society;

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

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Antoulas, Athanasios C.
Max Planck Fellow Group for Data-Driven System Reduction and Identification, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society;
Rice University;
Baylor College of Medicine;

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2211.10635v2.pdf
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Citation

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.

Cite as: https://hdl.handle.net/21.11116/0000-000B-9C4B-2

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