Fixed-time parameter estimation via the discrete-time DREM method

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.

Mots clés

online parameter estimation fixed-time estimation DREM

Domaines

Automatique / Robotique

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KremAndScalarLRE_brief-2.pdf (387.34 Ko)

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Rosane Ushirobira : Connectez-vous pour contacter le contributeur

https://hal.science/hal-04390727

Soumis le : vendredi 12 janvier 2024-13:44:13

Dernière modification le : vendredi 31 mai 2024-18:32:03

Dates et versions

hal-04390727 , version 1 (12-01-2024)

Identifiants

HAL Id : hal-04390727 , version 1
DOI : 10.1016/j.ifacol.2023.10.1382

Citer

Marina Korotina, Stanislav Aranovskiy, Rosane Ushirobira, Denis Efimov, Jian Wang. Fixed-time parameter estimation via the discrete-time DREM method. 22nd IFAC World Congress, IFAC, Jul 2023, YOKOHAMA, Japan. pp.4013-4018, ⟨10.1016/j.ifacol.2023.10.1382⟩. ⟨hal-04390727⟩

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