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.

Keywords

online parameter estimation fixed-time estimation DREM

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Automatic

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KremAndScalarLRE_brief-2.pdf (387.34 Ko)

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https://hal.science/hal-04390727

Submitted on : Friday, January 12, 2024-1:44:13 PM

Last modification on : Wednesday, January 24, 2024-9:54:24 AM

Dates and versions

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

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

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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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