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1 Ergebnisse
1
Super-twisting Sliding Mode Control Based on RBF Neural Net..:
, In:
2023 2nd Conference on Fully Actuated System Theory and Applications (CFASTA)
,
Zhou, Yiwen
;
Jin, Fan
;
Kong, Hanxue
.. - p. 664-669 , 2023
Link:
https://doi.org/10.1109/CFASTA57821.2023.10243221
RT T1 <cTitle>2023 2nd Conference on Fully Actuated System Theory and Applications (CFASTA)</cTitle>: T1 <Title>Super-twisting Sliding Mode Control Based on RBF Neural Network</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10243221&Exemplar=1&LAN=DE A1 Zhou, Yiwen A1 Jin, Fan A1 Kong, Hanxue A1 Yu, Shuaixian A1 Huang, Yixin YR 2023 K1 Space vehicles K1 Learning systems K1 Estimation error K1 Adaptation models K1 Uncertain systems K1 Uncertainty K1 Neural networks K1 Near space vehicle K1 RBF neural network K1 Minimum parameter learning method K1 Super-twisting sliding mode control SP 664 OP 669 LK http://dx.doi.org/https://doi.org/10.1109/CFASTA57821.2023.10243221 DO https://doi.org/10.1109/CFASTA57821.2023.10243221 SF ELIB - SuUB Bremen
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