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.
Robust Sinusoid Identification with Structured and Unstructured Measurement Uncertainties / Pin, Gilberto; B., Chen; Parisini, Thomas; M., Bodson. - In: IEEE TRANSACTIONS ON AUTOMATIC CONTROL. - ISSN 0018-9286. - ELETTRONICO. - 59:6(2014), pp. 1588-1593. [10.1109/TAC.2013.2293415]
Robust Sinusoid Identification with Structured and Unstructured Measurement Uncertainties
PIN, GILBERTO;PARISINI, Thomas;
2014-01-01
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.Pubblicazioni consigliate
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