Standard

A globally convergent frequency estimator of a sinusoidal signal with a time-varying amplitude. / Vedyakov, Alexey A.; Vediakova, Anastasiia O.; Bobtsov, Alexey A.; Pyrkin, Anton A.; Aranovskiy, Stanislav V.

в: European Journal of Control, Том 38, 11.2017, стр. 32-38.

Результаты исследований: Научные публикации в периодических изданиях › статья › Рецензирование

Harvard

Vedyakov, AA, Vediakova, AO, Bobtsov, AA, Pyrkin, AA & Aranovskiy, SV 2017, 'A globally convergent frequency estimator of a sinusoidal signal with a time-varying amplitude', European Journal of Control, Том. 38, стр. 32-38. https://doi.org/10.1016/j.ejcon.2017.08.001

APA

Vedyakov, A. A., Vediakova, A. O., Bobtsov, A. A., Pyrkin, A. A., & Aranovskiy, S. V. (2017). A globally convergent frequency estimator of a sinusoidal signal with a time-varying amplitude. European Journal of Control, 38, 32-38. https://doi.org/10.1016/j.ejcon.2017.08.001

Vancouver

Vedyakov AA, Vediakova AO, Bobtsov AA, Pyrkin AA, Aranovskiy SV. A globally convergent frequency estimator of a sinusoidal signal with a time-varying amplitude. European Journal of Control. 2017 Нояб.;38:32-38. https://doi.org/10.1016/j.ejcon.2017.08.001

Author

Vedyakov, Alexey A. ; Vediakova, Anastasiia O. ; Bobtsov, Alexey A. ; Pyrkin, Anton A. ; Aranovskiy, Stanislav V. / A globally convergent frequency estimator of a sinusoidal signal with a time-varying amplitude. в: European Journal of Control. 2017 ; Том 38. стр. 32-38.

BibTeX

@article{d687564936984f05b5988863218bf404,
title = "A globally convergent frequency estimator of a sinusoidal signal with a time-varying amplitude",
abstract = "The paper considers the problem of continuous-time online frequency estimation for a sinusoidal signal with a time-varying amplitude, where the latter is given by a known function of time multiplied by an unknown constant. To solve the problem a novel parameterization method is applied yielding linear regression with three unknown constant parameters. Next, two estimation algorithms are proposed, where the first is based on the conventional gradient approach, and a recently presented dynamic regressor extension and mixing procedure is used for the second. Global exponential convergence of the suggested frequency estimator is established, and the obtained performance is illustrated with simulations.",
keywords = "A globally convergent estimator, Continuous-time estimation, Online frequency estimation",
author = "Vedyakov, {Alexey A.} and Vediakova, {Anastasiia O.} and Bobtsov, {Alexey A.} and Pyrkin, {Anton A.} and Aranovskiy, {Stanislav V.}",
note = "Publisher Copyright: {\textcopyright} 2017 European Control Association Copyright: Copyright 2018 Elsevier B.V., All rights reserved.",
year = "2017",
month = nov,
doi = "10.1016/j.ejcon.2017.08.001",
language = "English",
volume = "38",
pages = "32--38",
journal = "European Journal of Control",
issn = "0947-3580",
publisher = "Lavoisier",

}

RIS

TY - JOUR

T1 - A globally convergent frequency estimator of a sinusoidal signal with a time-varying amplitude

AU - Vedyakov, Alexey A.

AU - Vediakova, Anastasiia O.

AU - Bobtsov, Alexey A.

AU - Pyrkin, Anton A.

AU - Aranovskiy, Stanislav V.

N1 - Publisher Copyright: © 2017 European Control Association Copyright: Copyright 2018 Elsevier B.V., All rights reserved.

PY - 2017/11

Y1 - 2017/11

N2 - The paper considers the problem of continuous-time online frequency estimation for a sinusoidal signal with a time-varying amplitude, where the latter is given by a known function of time multiplied by an unknown constant. To solve the problem a novel parameterization method is applied yielding linear regression with three unknown constant parameters. Next, two estimation algorithms are proposed, where the first is based on the conventional gradient approach, and a recently presented dynamic regressor extension and mixing procedure is used for the second. Global exponential convergence of the suggested frequency estimator is established, and the obtained performance is illustrated with simulations.

AB - The paper considers the problem of continuous-time online frequency estimation for a sinusoidal signal with a time-varying amplitude, where the latter is given by a known function of time multiplied by an unknown constant. To solve the problem a novel parameterization method is applied yielding linear regression with three unknown constant parameters. Next, two estimation algorithms are proposed, where the first is based on the conventional gradient approach, and a recently presented dynamic regressor extension and mixing procedure is used for the second. Global exponential convergence of the suggested frequency estimator is established, and the obtained performance is illustrated with simulations.

KW - A globally convergent estimator

KW - Continuous-time estimation

KW - Online frequency estimation

UR - http://www.scopus.com/inward/record.url?scp=85029217167&partnerID=8YFLogxK

U2 - 10.1016/j.ejcon.2017.08.001

DO - 10.1016/j.ejcon.2017.08.001

M3 - Article

AN - SCOPUS:85029217167

VL - 38

SP - 32

EP - 38

JO - European Journal of Control

JF - European Journal of Control

SN - 0947-3580

ER -

ID: 76548159