A continuous-time framework for least ...

Document type :
Article dans une revue scientifique
DOI :
10.1016/j.automatica.2014.10.055
Title :
A continuous-time framework for least squares parameter estimation
Author(s) :
Riachy, Samer [Auteur correspondant]
Laboratoire QUARTZ [QUARTZ ]
Non-Asymptotic estimation for online systems [NON-A]
Journal title :
Automatica
Pages :
6
Publisher :
Elsevier
Publication date :
2014-10-27
ISSN :
0005-1098
English keyword(s) :
least squares
parameter estimation
estimation under noise
Sobolev spaces
Evolution equations
HAL domain(s) :
Informatique [cs]/Automatique
English abstract : [en]
This paper proposes a continuous-time framework for the least-squares parameter estimation method through evolution equations. Nonlinear systems in the standard state space representation that are linear in the unknown, ...
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Language :
Anglais
Peer reviewed article :
Oui
Audience :
Internationale
Popular science :
Non
Collections :
Source :
Harvested from HAL
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