Pin, Gilberto;
Wang, Yang;
Chen, Boli;
Parisini, Thomas;
(2019)
Identification of multi-sinusoidal signals with direct frequency estimation: An adaptive observer approach.
Automatica
, 99
pp. 338-345.
10.1016/j.automatica.2018.10.026.
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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.
| Type: | Article |
|---|---|
| Title: | Identification of multi-sinusoidal signals with direct frequency estimation: An adaptive observer approach |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1016/j.automatica.2018.10.026 |
| Publisher version: | https://doi.org/10.1016/j.automatica.2018.10.026 |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
| Keywords: | Sinusoidal signals; Frequency estimation; Adaptive systems; Estimation algorithms. |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Electronic and Electrical Eng |
| URI: | https://discovery-pp.ucl.ac.uk/id/eprint/10189791 |
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