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Conference Papers Year : 2020

On fixed-time parameter estimation under interval excitation

Abstract

The problem of estimation in the linear regression model is studied under the hypothesis that the regressor may be excited on a limited initial interval of time only. Then the estimation solution is based on the framework of finite-time or fixed-time converging dynamical systems. Two estimation algorithms are proposed. The robustness is analyzed using the notion of short-time input-to-state stability property with the use of a Lyapunov function. The performance of the estimators is demonstrated in numerical experiments.

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Dates and versions

hal-02634489 , version 1 (27-05-2020)

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  • HAL Id : hal-02634489 , version 1

Cite

Denis Efimov, Stanislav Aranovskiy, Alexey Bobtsov, Tarek Raïssi. On fixed-time parameter estimation under interval excitation. ECC 2020 - 18th European Control Conference, May 2020, Saint-Petersburg, Russia. ⟨hal-02634489⟩
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