Robust Sinusoid Identification with Structured and Unstructured Measurement Uncertainties

In this note a globally stable methodology is proposed to estimate the frequency, phase, and amplitude of a sinusoidal signal affected by additive structured and bounded unstructured disturbances. The structured disturbances belong to the class of time-polynomial signals incorporating both bias and drift phenomena. Stability and robustness results are given by resorting to Input-to-State stability arguments. Simulation comparative results show the effectiveness of the proposed technique.



Titolo: Robust Sinusoid Identification with Structured and Unstructured Measurement Uncertainties
Autori: 
PIN, GILBERTO
PARISINI, Thomas
mostra contributor esterni 
Data di pubblicazione: 2014
Rivista: 
IEEE TRANSACTIONS ON AUTOMATIC CONTROL  
Abstract: In this note a globally stable methodology is proposed to estimate the frequency, phase, and amplitude of a sinusoidal signal affected by additive structured and bounded unstructured disturbances. The structured disturbances belong to the class of time-polynomial signals incorporating both bias and drift phenomena. Stability and robustness results are given by resorting to Input-to-State stability arguments. Simulation comparative results show the effectiveness of the proposed technique.
Handle: http://hdl.handle.net/11368/2758767
Digital Object Identifier (DOI): http://dx.doi.org/10.1109/TAC.2013.2293415
Appare nelle tipologie:1.1 Articolo in Rivista

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