In this section
@article{Chen:2014:10.1109/TSP.2014.2362105,
author = {Chen, B and Pin, G and Ng, WM and Lee, CK and Hui, SYR and Parisini, T},
doi = {10.1109/TSP.2014.2362105},
journal = {IEEE Transactions on Signal Processing},
pages = {6355--6365},
title = {An adaptive observer-based switched methodology for the identification of a perturbed sinusoidal signal: theory and experiments},
url = {http://dx.doi.org/10.1109/TSP.2014.2362105},
volume = {62},
year = {2014}
}
TY - JOUR
AB - This paper deals with a novel adaptive observer-based technique for estimating the amplitude, frequency, and phase of a single sinusoidal signal from a measurement affected by structured and unstructured disturbances. The structured disturbances are modeled as a time-polynomial so as to represent bias and drift phenomena typically present in applications, whereas the unstructured disturbances are modelled as bounded noise signals. The proposed estimation technique exploits a specific adaptive observer scheme equipped with a switching criterion allowing to properly address in a stable way poor excitation scenarios. The estimator's stability properties are analyzed by input-to-state stability arguments. The practical characteristics of the proposed estimation approach are evaluated and compared with other existing tools by extensive simulation trials. Real experimental results are provided as well.
AU - Chen,B
AU - Pin,G
AU - Ng,WM
AU - Lee,CK
AU - Hui,SYR
AU - Parisini,T
DO - 10.1109/TSP.2014.2362105
EP - 6365
PY - 2014///
SN - 1053-587X
SP - 6355
TI - An adaptive observer-based switched methodology for the identification of a perturbed sinusoidal signal: theory and experiments
T2 - IEEE Transactions on Signal Processing
UR - http://dx.doi.org/10.1109/TSP.2014.2362105
UR - http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000345516000001&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
UR - https://ieeexplore.ieee.org/document/6918441
VL - 62
ER -