DocumentCode :
3434035
Title :
Robust parametric identification of sinusoidal signals: An Input-to-State Stability approach
Author :
Pin, Gilberto ; Parisini, Thomas ; Bodson, Marc
Author_Institution :
Danieli Automation S.p.A, Italy
fYear :
2011
fDate :
12-15 Dec. 2011
Firstpage :
6104
Lastpage :
6109
Abstract :
In this work, a robust method to estimate sinusoidal signals of unknown frequency, amplitude and phase is described. The stability properties of the devised estimation method under perturbed condition are studied by Input-to-State Stability (ISS) analysis. Compared to averaging approaches, the ISS-Lyapunov theory allows to study the stability for any value of adaptation parameters.
Keywords :
Frequency estimation; Noise; Power system stability; Stability criteria; Time frequency analysis; Vectors; Frequency estimation; adaptive systems; input-to-state stability; phase locking loops;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Decision and Control and European Control Conference (CDC-ECC), 2011 50th IEEE Conference on
Conference_Location :
Orlando, FL, USA
ISSN :
0743-1546
Print_ISBN :
978-1-61284-800-6
Electronic_ISBN :
0743-1546
Type :
conf
DOI :
10.1109/CDC.2011.6160857
Filename :
6160857
Link To Document :
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