Paper Info
Title
Robust parametric identification of sinusoidal signals: An Input-to-State Stability approach.
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.
Year
DOI
Venue
2011
10.1109/CDC.2011.6160857
CDC-ECE
Keywords
Field
DocType
Frequency estimation,adaptive systems,input-to-state stability,phase locking loops
Control theory,Adaptive system,Computer science,Parametric identification,Time–frequency analysis,Amplitude
Conference
ISSN
Citations 
PageRank 
0743-1546
5
0.44
References 
Authors
13
3
Name
Order
Citations
PageRank
Gilberto Pin113617.21
Thomas Parisini252.13
Marc Bodson371.81