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    • 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): 10.1109/TAC.2013.2293415
    Appare nelle tipologie:1.1 Articolo in Rivista

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