Fixed-time parameter estimation via the ...
Document type :
Communication dans un congrès avec actes
Title :
Fixed-time parameter estimation via the discrete-time DREM method
Author(s) :
Korotina, Marina [Auteur]
ITMO University [Russia]
Institut d'Électronique et des Technologies du numéRique [IETR]
Aranovskiy, Stanislav [Auteur]
CentraleSupélec [campus de Rennes]
Institut d'Électronique et des Technologies du numéRique [IETR]
Ushirobira, Rosane [Auteur]
Finite-time control and estimation for distributed systems [VALSE]
Efimov, Denis [Auteur]
Finite-time control and estimation for distributed systems [VALSE]
Wang, Jian [Auteur]
Hangzhou Dianzi University [HDU]
ITMO University [Russia]
Institut d'Électronique et des Technologies du numéRique [IETR]
Aranovskiy, Stanislav [Auteur]
CentraleSupélec [campus de Rennes]
Institut d'Électronique et des Technologies du numéRique [IETR]
Ushirobira, Rosane [Auteur]

Finite-time control and estimation for distributed systems [VALSE]
Efimov, Denis [Auteur]

Finite-time control and estimation for distributed systems [VALSE]
Wang, Jian [Auteur]
Hangzhou Dianzi University [HDU]
Conference title :
22nd IFAC World Congress
Conference organizers(s) :
IFAC
City :
YOKOHAMA
Country :
Japon
Start date of the conference :
2023-07-10
Book title :
IFAC-PapersOnLine
Publication date :
2023-07
English keyword(s) :
online parameter estimation
fixed-time estimation
DREM
fixed-time estimation
DREM
HAL domain(s) :
Sciences de l'ingénieur [physics]/Automatique / Robotique
English abstract : [en]
A simple fixed-time converging estimation algorithm is presented for a linear regression using the dynamic regressor extension and mixing (DREM) method within a discretetime setting, with a persistently exciting regressor ...
Show more >A simple fixed-time converging estimation algorithm is presented for a linear regression using the dynamic regressor extension and mixing (DREM) method within a discretetime setting, with a persistently exciting regressor and bounded measurement noises. The solution is based on Kreisselmeier's filters and is computationally simpler than the existing analogs.Show less >
Show more >A simple fixed-time converging estimation algorithm is presented for a linear regression using the dynamic regressor extension and mixing (DREM) method within a discretetime setting, with a persistently exciting regressor and bounded measurement noises. The solution is based on Kreisselmeier's filters and is computationally simpler than the existing analogs.Show less >
Language :
Anglais
Peer reviewed article :
Oui
Audience :
Internationale
Popular science :
Non
Collections :
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