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An adaptive observer design approach for a class of discrete-time nonlinear systems Cover

An adaptive observer design approach for a class of discrete-time nonlinear systems

International Journal of Applied Mathematics and Computer Science
Volume 28 (2018): Issue 1 (March 2018)
By: Krishnan Srinivasarengan,  José Ragot,  Christophe Aubrun and  Didier Maquin  
Open Access
|Mar 2018

Authors

Krishnan Srinivasarengan

krishnan.srinivasarengan@univ-lorraine.fr

CRAN UMR 7039, CNRS University of Lorraine, F-54000, Vandoeuvre-lès-Nancy, France

José Ragot

jose.ragot@univ-lorraine.fr

CRAN UMR 7039, CNRS University of Lorraine, F-54000, Vandoeuvre-lès-Nancy, France

Christophe Aubrun

christophe.aubrun@univ-lorraine.fr

CRAN UMR 7039, CNRS University of Lorraine, F-54000, Vandoeuvre-lès-Nancy, France

Didier Maquin

didier.maquin@univ-lorraine.fr

CRAN UMR 7039, CNRS University of Lorraine, F-54000, Vandoeuvre-lès-Nancy, France
DOI: https://doi.org/10.2478/amcs-2018-0004 | Journal eISSN: 2083-8492 | Journal ISSN: 1641-876X
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Language: English
Page range: 55 - 67
Submitted on: Feb 10, 2017
|
Accepted on: Aug 9, 2017
|
Published on: Mar 31, 2018
Published by: University of Zielona Góra
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
adaptive observer,
joint state and parameter estimation,
Takagi-Sugeno model,
time-varying parameter estimation,
sector nonlinearity transformation,
discrete-time nonlinear systems
Related subjects:
Mathematics,
Applied mathematics

© 2018 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 4.0 License.

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