<script type="text/javascript">
<!--
document.write('<div id="oa_widget"></div>');
document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=undefined&type=result"></script>');
-->
</script>

COPY SCRIPT

For further information contact us at helpdesk@openaire.eu

Identification of multi-sinusoidal signals with direct frequency estimation: An adaptive observer approach

descriptionPublicationkeyboard_double_arrow_right Article 01 Jan 2019 Italy, Italy, United Kingdom, Italy English Publisher:Elsevier BVJournal:Automatica, volume 99, pages 338-345 (issn: 0005-1098,

Authors: Gilberto Pin; Boli Chen; Yang Wang; Thomas Parisini; Thomas Parisini; Thomas Parisini;

doi: 10.1016/j.automatica.2018.10.026

handle: 11368/2942110 , 11577/3331645 , 10044/1/63947

Identification of multi-sinusoidal signals with direct frequency estimation: An adaptive observer approach

- Summary
- Subjects
- Metrics

Abstract

This paper addresses the problem of estimating the frequencies, amplitudes and phases of the n sinusoidal components of a possibly biased multi-sinusoidal signal. The proposed adaptive observer allows the direct adaptation of the frequency estimates with a relatively low dynamic order 3n + 1 (3n for an unbiased signal). The stability analysis proves the global exponential convergence of the estimation error and the robustness to additive norm-bounded measurement perturbations.

Countries

Italy, Italy, United Kingdom, Italy

Related Organizations

University of Padua
Italy
University College London
United Kingdom
University of Cyprus
Cyprus
KIOS Research and Innovation Center of Excellence
Cyprus
University of Trieste
Italy

View all View all

Keywords

Technology, Science & Technology, Engineering, Electrical & Electronic, Estimation algorithms, Adaptive systems, 09 Engineering, 510, Sinusoidal signals, Sinusoidal signals, frequency estimation, adaptive systems, estimation algorithms., Automation & Control Systems, Engineering, FILTER, Industrial Engineering & Automation, DESIGN, Electrical & Electronic, Frequency estimation, 08 Information and Computing Sciences, Adaptive systems; Estimation algorithms; Frequency estimation; Sinusoidal signals, 01 Mathematical Sciences, Estimation algorithms.

Impact byBIP!

	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	35
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Top 10%
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Top 10%
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Top 10%