Name
Title | ||
|---|---|---|
Finite-time estimation of multiple exponentially-damped sinusoidal signals: A kernel-based approach |
Abstract | ||
|---|---|---|
The problem of estimating the parameters of biased and exponentially-damped multi-sinusoidal signals is addressed in this paper by a finite-time identification scheme based on Volterra integral operators. These parameters are the amplitudes, frequencies, initial phase angles, damping factors and the offset. The proposed strategy entails the design of a new kind of kernel function that, compared to existing ones, allows for the identification of the initial conditions of the signal-generator system. The worst-case behavior of the proposed algorithm in the presence of bounded additive disturbances is fully characterized by Input-to-State Stability arguments. Numerical examples including the comparisons with some existing tools are reported to show the effectiveness of the proposed methodology. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1016/j.automatica.2019.04.016 | Automatica |
Field | DocType | Volume |
Kernel (linear algebra),Applied mathematics,Identification scheme,Control theory,Operator (computer programming),Phase angle,Amplitude,Offset (computer science),Mathematics,Bounded function,Kernel (statistics) | Journal | 106 |
Issue | ISSN | Citations |
1 | 0005-1098 | 0 |
PageRank | References | Authors |
0.34 | 0 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Boli Chen | 1 | 31 | 6.94 |
| Peng Li | 2 | 0 | 2.03 |
| Gilberto Pin | 3 | 136 | 17.21 |
| Giuseppe Fedele | 4 | 97 | 15.53 |
| T Parisini | 5 | 935 | 113.17 |