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ECOset-ILC: an Iterative Learning Control Approach with Set..:
, In:
2022 IEEE 17th International Conference on Advanced Motion Control (AMC)
,
Ronzani, Daniele
;
Gillis, Joris
;
Pipeleers, Goele
. - p. 68-75 , 2022
Link:
https://doi.org/10.1109/AMC51637.2022.9729282
RT T1 <cTitle>2022 IEEE 17th International Conference on Advanced Motion Control (AMC)</cTitle>: T1 <Title>ECOset-ILC: an Iterative Learning Control Approach with Set-membership Uncertainty</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9729282&Exemplar=1&LAN=DE A1 Ronzani, Daniele A1 Gillis, Joris A1 Pipeleers, Goele A1 Swevers, Jan YR 2022 SN 1943-6580 K1 Uncertain systems K1 Uncertainty K1 Estimation K1 Sensors K1 Planning K1 Performance analysis K1 Motion measurement K1 Iterative learning control K1 parameter estimation K1 optimal experiment design K1 set-membership uncertainty K1 bounded-noise K1 binary measurement SP 68 OP 75 LK http://dx.doi.org/https://doi.org/10.1109/AMC51637.2022.9729282 DO https://doi.org/10.1109/AMC51637.2022.9729282 SF ELIB - SuUB Bremen
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