Time-Varying Parameter Identification Algorithms: Finite and Fixed-Time Convergence - Inria - Institut national de recherche en sciences et technologies du numérique Accéder directement au contenu
Article Dans Une Revue IEEE Transactions on Automatic Control Année : 2018

Time-Varying Parameter Identification Algorithms: Finite and Fixed-Time Convergence

Résumé

In this paper the problem of time-varying parameter identification is studied. To this aim, two identification algorithms are developed in order to identify time-varying parameters in a finite-time or prescribed time (fixed-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-based approach. The results are obtained under injectivity of the regressor term, which is related to the classical identifiability condition. The case of bounded disturbances (noise of measurements) is analyzed for both algorithms. Simulation results illustrate the feasibility of the proposed algorithms.
Fichier principal
Vignette du fichier
_LTV_ParIdent_FxT_TAC_FV.pdf (1.65 Mo) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

hal-01470957 , version 1 (18-02-2017)

Identifiants

Citer

Hector Ríos, Denis Efimov, Jaime A Moreno, Wilfrid Perruquetti, J G Rueda-Escobedo. Time-Varying Parameter Identification Algorithms: Finite and Fixed-Time Convergence. IEEE Transactions on Automatic Control, 2018, ⟨10.1109/TAC.2017.2673413⟩. ⟨hal-01470957⟩
860 Consultations
778 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More