Finite-Time Identification Algorithm based ...
Document type :
Communication dans un congrès avec actes
Title :
Finite-Time Identification Algorithm based on Time-Varying Homogeneity and Lyapunov Approach
Author(s) :
Ríos, Hector [Auteur]
University of California [Santa Barbara] [UC Santa Barbara]
Efimov, Denis [Auteur]
Non-Asymptotic estimation for online systems [NON-A]
Moreno, Jaime [Auteur]
Universidad Nacional Autónoma de México = National Autonomous University of Mexico [UNAM]
Perruquetti, Wilfrid [Auteur correspondant]
Non-Asymptotic estimation for online systems [NON-A]
University of California [Santa Barbara] [UC Santa Barbara]
Efimov, Denis [Auteur]

Non-Asymptotic estimation for online systems [NON-A]
Moreno, Jaime [Auteur]
Universidad Nacional Autónoma de México = National Autonomous University of Mexico [UNAM]
Perruquetti, Wilfrid [Auteur correspondant]
Non-Asymptotic estimation for online systems [NON-A]
Conference title :
Proc. 10th IFAC Symposium on Nonlinear Control Systems (NOLCOS)
City :
Monterey
Country :
Etats-Unis d'Amérique
Start date of the conference :
2016-08-22
English keyword(s) :
Time-varying parameters
Identification
Finite-Time
Identification
Finite-Time
HAL domain(s) :
Sciences de l'ingénieur [physics]/Automatique / Robotique
English abstract : [en]
In this paper the problem of time-varying parameter identification is studied. To this aim, an identification algorithm is developed in order to identify time-varying parameters in a finite-time. The convergence proofs are ...
Show more >In this paper the problem of time-varying parameter identification is studied. To this aim, an identification algorithm is developed in order to identify time-varying parameters in a finite-time. The convergence proofs are based on a notion of finite-time stability over finite intervals of time, i.e. Short-finite-time stability; homogeneity for time-varying systems; and Lyapunov function approach. The algorithm asks for a condition over the regressor term which is related to the classic identifiability condition corresponding to the injectivity of such a term. Simulation results illustrate the feasibility of the proposed algorithm.Show less >
Show more >In this paper the problem of time-varying parameter identification is studied. To this aim, an identification algorithm is developed in order to identify time-varying parameters in a finite-time. The convergence proofs are based on a notion of finite-time stability over finite intervals of time, i.e. Short-finite-time stability; homogeneity for time-varying systems; and Lyapunov function approach. The algorithm asks for a condition over the regressor term which is related to the classic identifiability condition corresponding to the injectivity of such a term. Simulation results illustrate the feasibility of the proposed algorithm.Show less >
Language :
Anglais
Peer reviewed article :
Oui
Audience :
Internationale
Popular science :
Non
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