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@ARTICLE{Song:897112,
author = {Song, Mengxiao and Krause, Hans-Joachim and Zhou, Danfeng
and Li, Jie},
title = {{H}armonic {A}nalysis and {S}elf-{T}uning {C}ontrol
{C}ombining {W}avelet {A}nalysis and {I}dentification for
{H}igh-{T} c {RF} {SQUID}},
journal = {IEEE transactions on applied superconductivity},
volume = {31},
number = {7},
issn = {1051-8223},
address = {New York, NY},
publisher = {IEEE},
reportid = {FZJ-2021-03610},
pages = {1601305},
year = {2021},
abstract = {High-Tc radio-frequency (rf) superconducting quantum
interference devices are well understood and widely used in
many areas of low-field measurement because of their high
sensitivity and high resolution. Harmonic analysis has
proven to be an efficient way for finding the optimum
working point. However, there is a precondition for using
harmonic analysis, which is not well understood so far. In
this article, it is shown that the precondition can be
fulfilled in the typical range of parameters and under our
experimental conditions by using a direct mathematical
derivation. It is demonstrated that the improvement of
wavelet analysis in mean square error (MSE) is more than
$50\%$ for harmonic analysis. In addition, identification by
forgetting factor recursive least square is a helpful way
for self-tuning controller who gives fast tracking, small
MSE and high coefficient of determination (R²) for harmonic
analysis of different experimentally measured signals.},
cin = {IBI-3},
ddc = {620},
cid = {I:(DE-Juel1)IBI-3-20200312},
pnm = {5241 - Molecular Information Processing in Cellular Systems
(POF4-524)},
pid = {G:(DE-HGF)POF4-5241},
typ = {PUB:(DE-HGF)16},
UT = {WOS:000700299800001},
doi = {10.1109/TASC.2021.3106267},
url = {https://juser.fz-juelich.de/record/897112},
}