In this section
@article{Parisini:2017:10.1016/j.automatica.2016.10.031,
author = {Parisini, T and Pin, G and Chen, B},
doi = {10.1016/j.automatica.2016.10.031},
journal = {Automatica},
pages = {120--132},
title = {Robust finite-time estimation of biased sinusoidal signals: a volterra operators approach},
url = {http://dx.doi.org/10.1016/j.automatica.2016.10.031},
volume = {77},
year = {2017}
}
TY - JOUR
AB - A novel finite-time convergent estimation technique is proposed for identifying the amplitude, frequency and phase of abiasedsinusoidal signal. Resorting to Volterra integral operators with suitably designed kernels, the measured signal is processedyielding a set of auxiliary signals in which the influence of the unknown initial conditions is removed. A second-order slidingmode-based adaptation law – fed by the aforementioned auxiliary signals – is designed for finite-time estimation of the frequency,amplitude, and phase. The worst case behavior of the proposed algorithm in presence of the bounded additive disturbancesis fully characterized by Input-to-State Stability arguments. The effectiveness of the estimation technique is evaluated andcompared with other existing tools via extensive numericalsimulations.
AU - Parisini,T
AU - Pin,G
AU - Chen,B
DO - 10.1016/j.automatica.2016.10.031
EP - 132
PY - 2017///
SN - 0005-1098
SP - 120
TI - Robust finite-time estimation of biased sinusoidal signals: a volterra operators approach
T2 - Automatica
UR - http://dx.doi.org/10.1016/j.automatica.2016.10.031
UR - http://hdl.handle.net/10044/1/42008
VL - 77
ER -