Skip to Main content Skip to Navigation
Conference papers

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.
Document type :
Conference papers
Complete list of metadatas

Cited literature [27 references]  Display  Hide  Download

https://hal.inria.fr/hal-02634489
Contributor : Denis Efimov <>
Submitted on : Wednesday, May 27, 2020 - 3:33:05 PM
Last modification on : Tuesday, November 24, 2020 - 2:18:29 PM

File

ECC20_Stas.pdf
Files produced by the author(s)

Identifiers

  • HAL Id : hal-02634489, version 1

Citation

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⟩

Share

Metrics

Record views

82

Files downloads

512