Name
Title | ||
|---|---|---|
Identification of multi-sinusoidal signals with direct frequency estimation: An adaptive observer approach. |
Abstract | ||
|---|---|---|
This paper addresses the problem of estimating the frequencies, amplitudes and phases of the n sinusoidal components of a possibly biased multi-sinusoidal signal. The proposed adaptive observer allows the direct adaptation of the frequency estimates with a relatively low dynamic order 3n+1 (3n for an unbiased signal). The stability analysis proves the global exponential convergence of the estimation error and the robustness to additive norm-bounded measurement perturbations. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1016/j.automatica.2018.10.026 | Automatica |
Keywords | Field | DocType |
Sinusoidal signals,Frequency estimation,Adaptive systems,Estimation algorithms | Control theory,Robustness (computer science),Adaptive observer,Exponential convergence,Amplitude,Perturbation (astronomy),Mathematics | Journal |
Volume | Issue | ISSN |
99 | 1 | 0005-1098 |
Citations | PageRank | References |
1 | 0.35 | 14 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Gilberto Pin | 1 | 136 | 17.21 |
| Yang Wang | 2 | 1 | 1.03 |
| Boli Chen | 3 | 31 | 6.94 |
| T Parisini | 4 | 935 | 113.17 |