English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT

Released

Conference Paper

A Bilinear Identification-Modeling Framework from Time Domain Data

MPS-Authors
/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/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/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;
Rice University Houston;
Baylor College of Medicine;

External Resource
No external resources are shared
Fulltext (public)
There are no public fulltexts stored in PuRe
Supplementary Material (public)
There is no public supplementary material available
Citation

Karachalios, D., Gosea, I. V., & Antoulas, A. C. (2019). A Bilinear Identification-Modeling Framework from Time Domain Data. Proceedings in Applied Mathematics and Mechanics, 19(1): e201900246.


Cite as: http://hdl.handle.net/21.11116/0000-0005-EDAB-0
Abstract
There is no abstract available