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  Data-driven balancing of linear dynamical systems

Gosea, I. V., Gugercin, S., & Beattie, C. (2022). Data-driven balancing of linear dynamical systems. SIAM Journal on Scientific Computing, 44(1), A554-A582. doi:10.1137/21M1411081.

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2104.01006.pdf (Preprint), 839KB
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© 2022 Society for Industrial and Applied Mathematics. This publication is with permission of the publisher freely available on MPG.PuRe.
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 Creators:
Gosea, Ion Victor1, Author           
Gugercin, Serkan2, Author
Beattie, Christopher2, 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              
2Virginia Tech, ou_persistent22              

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 Dates: 2021-04-022022
 Publication Status: Issued
 Pages: -
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 Table of Contents: -
 Rev. Type: Peer
 Identifiers: arXiv: 2104.01006
DOI: 10.1137/21M1411081
Other: pubdata_escidoc:3310754
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Title: SIAM Journal on Scientific Computing
Source Genre: Journal
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Publ. Info: Philadelphia, PA : SIAM
Pages: - Volume / Issue: 44 (1) Sequence Number: - Start / End Page: A554 - A582 Identifier: ISSN: 1064-8275
CoNE: https://pure.mpg.de/cone/journals/resource/954928546248