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Parameter Identifiability for Nonlinear LPV Models Cover

Parameter Identifiability for Nonlinear LPV Models

International Journal of Applied Mathematics and Computer Science
Volume 32 (2022): Issue 2 (June 2022)
By: Krishnan Srinivasarengan,  José Ragot,  Christophe Aubrun and  Didier Maquin  
Open Access
|Jul 2022

Authors

Krishnan Srinivasarengan

CRAN, University of Lorraine/CNRS, Nancy, France

José Ragot

CRAN, University of Lorraine/CNRS, Nancy, France

Christophe Aubrun

CRAN, University of Lorraine/CNRS, Nancy, France

Didier Maquin

didier.maquin@univ-lorraine.fr

CRAN, University of Lorraine/CNRS, Nancy, France
DOI: https://doi.org/10.34768/amcs-2022-0019 | Journal eISSN: 2083-8492 | Journal ISSN: 1641-876X
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Language: English
Page range: 255 - 269
Submitted on: May 13, 2021
Accepted on: Feb 2, 2022
Published on: Jul 4, 2022
Published by: University of Zielona Góra
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
identifiability,
parameter estimation,
linear parameter varying models,
parity space approach,
null space
Related subjects:
Mathematics,
Applied mathematics

© 2022 Krishnan Srinivasarengan, José Ragot, Christophe Aubrun, Didier Maquin, published by University of Zielona Góra
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

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