Chen, Boli;
Pin, Gilberto;
Parisini, Thomas;
(2013)
Adaptive Observer-based Sinusoid Identification: Structured and Bounded Unstructured Measurement Disturbances.
In:
2013 European Control Conference (ECC).
(pp. pp. 2645-2650).
IEEE: Zurich, Switzerland.
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Abstract
The paper deals with an adaptive observer methodology for estimating the parameters of an unknown sinusoidal signal from a measurement perturbed by structured and unstructured uncertainties. The proposed technique makes it possible to handle measurement signals affected by structured uncertainties like, for example, bias and drifts which are typically present in applications. The stability of the estimator with respect to bounded additive disturbances is addressed by Input-to-State Stability arguments. The effectiveness of the proposed technique is shown through numerical simulations where comparisons with some recently proposed algorithms are also provided. © 2013 EUCA.
| Type: | Proceedings paper |
|---|---|
| Title: | Adaptive Observer-based Sinusoid Identification: Structured and Bounded Unstructured Measurement Disturbances |
| Event: | 2013 European Control Conference (ECC) |
| Location: | SWITZERLAND, ETH Zurich, Zurich |
| Dates: | 17 Jul 2013 - 19 Jul 2013 |
| ISBN-13: | 9783033039629 |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.23919/ecc.2013.6669461 |
| Publisher version: | https://doi.org/10.23919/ECC.2013.6669461 |
| 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: | Observers, Vectors, Frequency estimation, Noise measurement, Noise, Stability analysis |
| 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/10189797 |
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