In this section
@article{Chen:2018:10.1109/TAC.2017.2752007,
author = {Chen, B and Pin, G and Ng, WM and Hui, SYR and Parisini, T},
doi = {10.1109/TAC.2017.2752007},
journal = {IEEE TRANSACTIONS ON AUTOMATIC CONTROL},
pages = {1618--1631},
title = {An Adaptive-Observer-Based Robust Estimator of Multi-sinusoidal Signals},
url = {http://dx.doi.org/10.1109/TAC.2017.2752007},
volume = {63},
year = {2018}
}
TY - JOUR
AB - This paper presents an adaptive observer-based robust estimation methodology of the amplitudes, frequencies and phases of biased multi-sinusoidal signals in presence of bounded perturbations on the measurement. The parameters of the sinusoidal components are estimated on-line and the update laws are individually controlled by an excitation-based switching logic enabling the update of a parameter only when the measured signal is sufficiently informative. This way doing, the algorithm is able to tackle the problem of over-parametrization (i.e., when the internal model accounts for a number of sinusoids that is larger than the true spectral content) or temporarily fading sinusoidal components. The stability analysis proves the existence of a tuning parameter set for which the estimator's dynamics are input-to-state stable with respect to bounded measurement disturbances. The performance of the proposed estimation approach is evaluated and compared with other existing tools by extensive simulation trials and real-time experiments.
AU - Chen,B
AU - Pin,G
AU - Ng,WM
AU - Hui,SYR
AU - Parisini,T
DO - 10.1109/TAC.2017.2752007
EP - 1631
PY - 2018///
SN - 0018-9286
SP - 1618
TI - An Adaptive-Observer-Based Robust Estimator of Multi-sinusoidal Signals
T2 - IEEE TRANSACTIONS ON AUTOMATIC CONTROL
UR - http://dx.doi.org/10.1109/TAC.2017.2752007
UR - http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000433367600006&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
UR - http://hdl.handle.net/10044/1/51015
VL - 63
ER -