Imperial College London
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ProfessorThomasParisini

Faculty of Engineering, Department of Electrical and Electronic Engineering

Chair in Industrial Control, Head of Group for CAP
 
 
 
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Contact

 

+44 (0)20 7594 6240t.parisini Website

 
 
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Location

 

1114Electrical EngineeringSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Chen:2019:10.1016/j.automatica.2019.04.016,
author = {Chen, B and Li, P and Pin, G and Fedele, G and Parisini, T},
doi = {10.1016/j.automatica.2019.04.016},
journal = {Automatica},
pages = {1--7},
title = {Finite-time estimation of multiple exponentially-damped sinusoidal signals: A kernel-based approach},
url = {http://dx.doi.org/10.1016/j.automatica.2019.04.016},
volume = {106},
year = {2019}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - 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.
AU  - Chen,B
AU  - Li,P
AU  - Pin,G
AU  - Fedele,G
AU  - Parisini,T
DO  - 10.1016/j.automatica.2019.04.016
EP  - 7
PY  - 2019///
SN  - 0005-1098
SP  - 1
TI  - Finite-time estimation of multiple exponentially-damped sinusoidal signals: A kernel-based approach
T2  - Automatica
UR  - http://dx.doi.org/10.1016/j.automatica.2019.04.016
UR  - http://hdl.handle.net/10044/1/69700
VL  - 106
ER  -
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