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Robust Sinusoid Identification With Structured and Unstructured Measurement Uncertainties

Pin, Gilberto; Chen, Boli; Parisini, Thomas; Bodson, Marc; (2014) Robust Sinusoid Identification With Structured and Unstructured Measurement Uncertainties. IEEE Transactions on Automatic Control , 59 (6) pp. 1588-1593. 10.1109/TAC.2013.2293415. Green open access

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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.

Type: Article
Title: Robust Sinusoid Identification With Structured and Unstructured Measurement Uncertainties
Open access status: An open access version is available from UCL Discovery
DOI: 10.1109/TAC.2013.2293415
Publisher version: https://doi.org/10.1109/TAC.2013.2293415
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: Frequency estimation, Noise, Time-frequency analysis, Stability analysis, Vectors, Transient analysis, Estimation
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Electronic and Electrical Eng
URI: https://discovery.ucl.ac.uk/id/eprint/10189798
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