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Avtomatika i Telemekhanika, 2017, Issue 3, Pages 5–14 (Mi at14728)  
This article is cited in 6 scientific papers (total in 6 papers)

Linear Systems

A method for increasing the rate of parametric convergence in the problem of identification of the sinusoidal signal parameters

J. Wanga, P. A. Gritsenkob, S. V. Aranovskiyb, A. A. Bobtsovb, A. A. Pyrkinb

a Hangzhou Dianzi University, Hangzhou, China
b ITMO University (National Research University of Information Technologies, Mechanics and Optics), St. Petersburg, Russia
Full-text PDF (1220 kB) Citations (6)
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Abstract: The problem of identification of the sinusoidal signal parameters is very popular in the modern theory and practice of the automatic control. However, the problem of quality of estimation related with the increase in the rate of parametric identification is studied weakly until now. At the same time, the requirements on the quality of processes at realization of the up-to-date systems represent one of the key criteria for selecting one or another approach. A new method for estimation of the sinusoidal signal parameters enabling an increase in the rate of parametric identification was proposed. Consideration was given to a signal representing a sum of two sinusoids which can be easily extended to a more general case.
Keywords: parameter identification, multisinusoidal signals, quality of processes.
Funding agency Grant number
Russian Science Foundation 16-11-00049
This work was supported by the Russian Scientific Foundation (contract no. 16-11-00049 of January 21, 2016).
Presented by the member of Editorial Board: A. L. Fradkov

Received: 22.06.2015
English version:
Automation and Remote Control, 2017, Volume 78, Issue 3, Pages 389–396
DOI: https://doi.org/10.1134/S0005117917030018
Bibliographic databases:
Document Type: Article
Language: Russian
Citation: J. Wang, P. A. Gritsenko, S. V. Aranovskiy, A. A. Bobtsov, A. A. Pyrkin, “A method for increasing the rate of parametric convergence in the problem of identification of the sinusoidal signal parameters”, Avtomat. i Telemekh., 2017, no. 3, 5–14; Autom. Remote Control, 78:3 (2017), 389–396
Citation in format AMSBIB
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    • This publication is cited in the following 6 articles:
    Citing articles in Google Scholar: Russian citations, English citations
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