Adaptive stabilization by delay with biased ...
Type de document :
Communication dans un congrès avec actes
Titre :
Adaptive stabilization by delay with biased measurements
Auteur(s) :
Efimov, Denis [Auteur]
Finite-time control and estimation for distributed systems [VALSE]
Aranovskiy, Stanislav [Auteur]
CentraleSupélec
Fridman, Emilia [Auteur]
Department of Electrical Engineering
Sokolov, Dmitry [Auteur]
Structurer des formes géométriques [PIXEL]
Wang, Jian [Auteur]
Hangzhou Dianzi University [HDU]
Bobtsov, Alexey [Auteur]

Finite-time control and estimation for distributed systems [VALSE]
Aranovskiy, Stanislav [Auteur]
CentraleSupélec
Fridman, Emilia [Auteur]
Department of Electrical Engineering
Sokolov, Dmitry [Auteur]
Structurer des formes géométriques [PIXEL]
Wang, Jian [Auteur]
Hangzhou Dianzi University [HDU]
Bobtsov, Alexey [Auteur]
Titre de la manifestation scientifique :
IFAC 2020 - 21st IFAC World Congress
Ville :
Berlin
Pays :
Allemagne
Date de début de la manifestation scientifique :
2020-07-11
Discipline(s) HAL :
Sciences de l'ingénieur [physics]/Automatique / Robotique
Résumé en anglais : [en]
The problem of output robust adaptive stabilization for a class of Lipschitz nonlinear systems is studied under assumption that the measurements are available with a constant bias. The state reconstruction is avoided by ...
Lire la suite >The problem of output robust adaptive stabilization for a class of Lipschitz nonlinear systems is studied under assumption that the measurements are available with a constant bias. The state reconstruction is avoided by using delayed values of the output in the feedback and adaptation laws. The control and adaptation gains can be selected as a solution of the proposed linear matrix inequalities (LMIs). The efficiency of the presented approach is demonstrated on a nonlinear pendulum through simulations.Lire moins >
Lire la suite >The problem of output robust adaptive stabilization for a class of Lipschitz nonlinear systems is studied under assumption that the measurements are available with a constant bias. The state reconstruction is avoided by using delayed values of the output in the feedback and adaptation laws. The control and adaptation gains can be selected as a solution of the proposed linear matrix inequalities (LMIs). The efficiency of the presented approach is demonstrated on a nonlinear pendulum through simulations.Lire moins >
Langue :
Anglais
Comité de lecture :
Oui
Audience :
Internationale
Vulgarisation :
Non
Collections :
Source :
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