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,

Copyright policy )Funded by:EC | KIOS CoE

Authors: G. Pin; Y. Wang; B. Chen; T. 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

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Abstract

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Countries

Italy, Italy, United Kingdom, Italy

Related Organizations

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

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Keywords

Technology, Estimation and detection in stochastic control theory, Adaptive systems, 09 Engineering, 510, Sinusoidal signals, Automation & Control Systems, Engineering, DESIGN, Adaptive control/observation systems, Adaptive systems; Estimation algorithms; Frequency estimation; Sinusoidal signals, 01 Mathematical Sciences, Asymptotic stability in control theory, Science & Technology, frequency estimation, Engineering, Electrical & Electronic, adaptive systems, estimation algorithms, Estimation algorithms, sinusoidal signals, Sinusoidal signals, frequency estimation, adaptive systems, estimation algorithms., FILTER, Industrial Engineering & Automation, Electrical & Electronic, Frequency estimation, 08 Information and Computing Sciences, Frequency-response methods in control theory, Estimation algorithms.

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