On fixed-time parameter estimation under ...
Document type :
Communication dans un congrès avec actes
Title :
On fixed-time parameter estimation under interval excitation
Author(s) :
Efimov, Denis [Auteur]
Finite-time control and estimation for distributed systems [VALSE]
Aranovskiy, Stanislav [Auteur]
Institut d'Électronique et des Technologies du numéRique [IETR]
SUPELEC-Campus Rennes
Bobtsov, Alexey [Auteur]
National Research University of Information Technologies, Mechanics and Optics [St. Petersburg] [ITMO]
Raïssi, Tarek [Auteur]
CEDRIC. Traitement du signal et architectures électroniques [CEDRIC - LAETITIA]

Finite-time control and estimation for distributed systems [VALSE]
Aranovskiy, Stanislav [Auteur]
Institut d'Électronique et des Technologies du numéRique [IETR]
SUPELEC-Campus Rennes
Bobtsov, Alexey [Auteur]
National Research University of Information Technologies, Mechanics and Optics [St. Petersburg] [ITMO]
Raïssi, Tarek [Auteur]
CEDRIC. Traitement du signal et architectures électroniques [CEDRIC - LAETITIA]
Conference title :
ECC 2020 - 18th European Control Conference
City :
Saint-Petersburg
Country :
Russie
Start date of the conference :
2020-05-12
HAL domain(s) :
Sciences de l'ingénieur [physics]/Automatique / Robotique
English abstract : [en]
The problem of estimation in the linear regression model is studied under the hypothesis that the regressor may be excited on a limited initial interval of time only. Then the estimation solution is based on the framework ...
Show more >The problem of estimation in the linear regression model is studied under the hypothesis that the regressor may be excited on a limited initial interval of time only. Then the estimation solution is based on the framework of finite-time or fixed-time converging dynamical systems. Two estimation algorithms are proposed. The robustness is analyzed using the notion of short-time input-to-state stability property with the use of a Lyapunov function. The performance of the estimators is demonstrated in numerical experiments.Show less >
Show more >The problem of estimation in the linear regression model is studied under the hypothesis that the regressor may be excited on a limited initial interval of time only. Then the estimation solution is based on the framework of finite-time or fixed-time converging dynamical systems. Two estimation algorithms are proposed. The robustness is analyzed using the notion of short-time input-to-state stability property with the use of a Lyapunov function. The performance of the estimators is demonstrated in numerical experiments.Show less >
Language :
Anglais
Peer reviewed article :
Oui
Audience :
Internationale
Popular science :
Non
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