Identification of multi-sinusoidal signals with direct frequency estimation: an adaptive observer approach
File(s)
Author(s)
Pin, Gilberto
Wang, Yang
Chen, Boli
Parisini, T
Type
Journal Article
Abstract
This paper addresses the problem of estimating the frequenc
ies, amplitudes and phases of the
n
sinusoidal components of a
possibly biased multi-sinusoidal signal. The proposed ada
ptive observer allows the
direct
adaptation of the frequency estimates
with a relatively low dynamic order 3
n
+ 1 (3
n
for an unbiased signal). The stability analysis proves the g
lobal exponential
convergence of the estimation error and the robustness to ad
ditive norm-bounded measurement perturbations.
ies, amplitudes and phases of the
n
sinusoidal components of a
possibly biased multi-sinusoidal signal. The proposed ada
ptive observer allows the
direct
adaptation of the frequency estimates
with a relatively low dynamic order 3
n
+ 1 (3
n
for an unbiased signal). The stability analysis proves the g
lobal exponential
convergence of the estimation error and the robustness to ad
ditive norm-bounded measurement perturbations.
Date Issued
2019-01-31
Date Acceptance
2018-09-26
Citation
Automatica, 2019, 99, pp.338-345
ISSN
0005-1098
Publisher
Elsevier
Start Page
338
End Page
345
Journal / Book Title
Automatica
Volume
99
Copyright Statement
© 2018 Elsevier Ltd. All rights reserved. This manuscript is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International Licence http://creativecommons.org/licenses/by-nc-nd/4.0/.
Subjects
Science & Technology
Technology
Automation & Control Systems
Engineering, Electrical & Electronic
Engineering
Sinusoidal signals
Frequency estimation
Adaptive systems
Estimation algorithms
DESIGN
FILTER
Industrial Engineering & Automation
01 Mathematical Sciences
09 Engineering
08 Information and Computing Sciences
Publication Status
Published
Date Publish Online
2018-11-15