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  Data-Driven Model Order Reduction of Linear Switched Systems in the Loewner Framework

Gosea, I. V., Petreczky, M., & Antoulas, A. C. (2018). Data-Driven Model Order Reduction of Linear Switched Systems in the Loewner Framework. SIAM Journal on Scientific Computing, 40(2), B572-B610. doi:10.1137/17M1120233.

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Item Permalink: http://hdl.handle.net/21.11116/0000-0001-39D7-D Version Permalink: http://hdl.handle.net/21.11116/0000-0002-1699-9
Genre: Journal Article

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© 2018, Society for Industrial and Applied Mathematics. This publication is with permission of the rights owner freely accessible on MPG.PuRe.
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 Creators:
Gosea, Ion Victor1, Author              
Petreczky, Mihaly2, Author
Antoulas, Athanasios C.1, 3, 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              
2CNRS, France, ou_persistent22              
3Rice University, Houston, USA, ou_persistent22              

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 Dates: 2018
 Publication Status: Published in print
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 Rev. Method: Peer
 Identifiers: DOI: 10.1137/17M1120233
Other: pubdata_escidoc:2582694
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Title: SIAM Journal on Scientific Computing
Source Genre: Journal
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Pages: - Volume / Issue: 40 (2) Sequence Number: - Start / End Page: B572 - B610 Identifier: -