English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT

Released

Conference Paper

Learning reduced-order models of quadratic control systems from input-output data

MPS-Authors
/persons/resource/persons214181

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;

/persons/resource/persons214179

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;

/persons/resource/persons206332

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;
Baylor College of Medicine, Houston, Texas;
Rice University, Houston, Texas;

External Resource
No external resources are shared
Fulltext (restricted access)
There are currently no full texts shared for your IP range.
Fulltext (public)

2012.02075.pdf
(Preprint), 390KB

Supplementary Material (public)
There is no public supplementary material available
Citation

Gosea, I. V., Karachalios, D., & Antoulas, A. C. (2021). Learning reduced-order models of quadratic control systems from input-output data. In 2021 European Control Conference (ECC) (pp. 1426-1431).


Cite as: https://hdl.handle.net/21.11116/0000-0007-8F6C-0
Abstract
There is no abstract available