An Adaptive Observer-Based Switched Methodology for the Identification of a Perturbed Sinusoidal Signal: Theory and Experiments

DOI10.1109/TSP.2014.2362105zbMath1394.94107OpenAlexW1980313658MaRDI QIDQ4579620

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Publication date: 22 August 2018

Published in: IEEE Transactions on Signal Processing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1109/tsp.2014.2362105

Mathematics Subject Classification ID

Signal theory (characterization, reconstruction, filtering, etc.) (94A12)

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Identification of a time-varying parameter of a noiseless sinusoidal signal ⋮ Relaxation for online frequency estimator of bias‐affected damped sinusoidal signals based on Dynamic Regressor Extension and Mixing ⋮ Identification of multi-sinusoidal signals with direct frequency estimation: an adaptive observer approach ⋮ Robust finite-time estimation of biased sinusoidal signals: a Volterra operators approach ⋮ A globally convergent frequency estimator of a sinusoidal signal with a time-varying amplitude ⋮ A parallel prefiltering approach for the identification of a biased sinusoidal signal: Theory and experiments ⋮ Finite-time estimation of multiple exponentially-damped sinusoidal signals: a kernel-based approach

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