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: | |
Data di pubblicazione: | 2014 |
Rivista: | |
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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