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Data-Driven Model Order Reduction of Linear Switched Systems in the Loewner Framework
Work
Year: 2018
Type: article
Abstract: The Loewner framework for model reduction is extended to the class of linear switched systems. One advantage of this framework is that it introduces a trade-off between accuracy and complexity. Moreov... more
Source: SIAM Journal on Scientific Computing
Authors I. V. Gosea, Mihály Petreczky, A. C. Antoulas
Institutions Max Planck Institute for Dynamics of Complex Technical Systems, Rice University, Centre de Recherche en Informatique, Signal et Automatique de Lille, Centre de Recherche en Informatique, École Centrale de Lille
Cites: 22
Cited by: 46
Related to: 10
FWCI: 3.129
Citation percentile (by year/subfield): 87.96
Topic: Model Reduction and Neural Networks
Subfield: Statistical and Nonlinear Physics
Field: Physics and Astronomy
Domain: Physical Sciences
Open Access status: green