Name
Abstract | ||
|---|---|---|
This paper deals with a novel robust estimation methodology yielding the amplitudes, frequencies and phases of the components of a biased multi-sinusoidal signal in presence of a bounded disturbance on the measurement. The proposed method is based on a suitable adaptive observer in which the parameters' adaptation law is equipped with an excitation-based switching logic. The stability analysis shows the existence of a set of tuning parameter guaranteeing that the estimator's dynamics is input-to-state stable with respect to bounded measurement disturbances. The effectiveness of the algorithm is illustrated by some simulation examples also reporting a few comparison results. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1109/ACC.2014.6858738 | ACC |
Keywords | Field | DocType |
observers,observers for nonlinear systems,estimation,signal processing,input-to-state stable,frequency estimation,amplitude estimation,bounded measurement disturbances,adaptive systems,robust estimation methodology,tuning parameter,biased multisinusoidal signal,adaptive observer,stability analysis,adaptive estimation,phase estimation,stability,excitation-based switching logic,adaptation law,time frequency analysis,switches,vectors,noise measurement | Computer science,Control theory,Control engineering,Adaptive observer,Estimator | Conference |
ISSN | ISBN | Citations |
0743-1619 | 978-1-4799-3272-6 | 5 |
PageRank | References | Authors |
0.43 | 10 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Boli Chen | 1 | 31 | 6.94 |
| Gilberto Pin | 2 | 136 | 17.21 |
| T Parisini | 3 | 935 | 113.17 |