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1 Ergebnisse
1
Learning Theory Convergence Rates for Observers and Control..:
, In:
2023 American Control Conference (ACC)
,
Burns, John
;
Kurdila, Andrew
;
Oesterheld, Derek
.. - p. 979-986 , 2023
Link:
https://doi.org/10.23919/ACC55779.2023.10156098
RT T1
2023 American Control Conference (ACC)
: T1
Learning Theory Convergence Rates for Observers and Controllers in Native Space Embedding
UL https://suche.suub.uni-bremen.de/peid=ieee-10156098&Exemplar=1&LAN=DE A1 Burns, John A1 Kurdila, Andrew A1 Oesterheld, Derek A1 Stilwell, Dan A1 Wang, Haoran YR 2023 SN 2378-5861 K1 Uncertainty K1 Stochastic systems K1 Estimation K1 Machine learning K1 Aerospace electronics K1 Observers K1 Ordinary differential equations K1 adaptive control K1 distributed parameter system K1 native space SP 979 OP 986 LK http://dx.doi.org/https://doi.org/10.23919/ACC55779.2023.10156098 DO https://doi.org/10.23919/ACC55779.2023.10156098 SF ELIB - SuUB Bremen
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