DocumentCode
745030
Title
A globally convergent estimator for n-frequencies
Author
Obregón-Pulido, G. ; Castillo-Toledo, B. ; Loukianov, A.
Author_Institution
Centro de Investigacion y de Estudios Avanzados del IPN, Guadalajara, Spain
Volume
47
Issue
5
fYear
2002
fDate
5/1/2002 12:00:00 AM
Firstpage
857
Lastpage
863
Abstract
In this paper, we propose a solution to the well-known problem of ensuring a simultaneous globally convergent online estimation of the state and the frequencies of a sinusoidal signal composed of n sinusoidal terms. We present an estimator which guarantees global boundedness and convergence of both the state estimation and the frequency estimation for all initial conditions and frequency values
Keywords
adaptive signal processing; convergence; frequency estimation; initial value problems; nonlinear systems; online operation; state estimation; adaptive signal processing; frequency estimation; frequency values; global boundedness; globally convergent online estimation; initial conditions; nonlinear systems; sinusoidal signal; sinusoidal terms; state estimation; Adaptive filters; Amplitude estimation; Control theory; Frequency estimation; Helicopters; Induction motors; Phase estimation; Stability; State estimation; Vibration control;
fLanguage
English
Journal_Title
Automatic Control, IEEE Transactions on
Publisher
ieee
ISSN
0018-9286
Type
jour
DOI
10.1109/TAC.2002.1000286
Filename
1000286
Link To Document