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1 Ergebnisse
1
Deep Deterministic Policy Gradient-based Parameter Selectio..:
, In:
2019 IEEE Conference on Control Technology and Applications (CCTA)
,
Oh, Tae-Ho
;
Kim, Tae-Il
;
Han, Ji-Seok
... - p. 320-324 , 2019
Link:
https://doi.org/10.1109/CCTA.2019.8920682
RT T1 <cTitle>2019 IEEE Conference on Control Technology and Applications (CCTA)</cTitle>: T1 <Title>Deep Deterministic Policy Gradient-based Parameter Selection Method of Notch Filters for Suppressing Mechanical Resonance in Industrial Servo Systems</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-8920682&Exemplar=1&LAN=DE A1 Oh, Tae-Ho A1 Kim, Tae-Il A1 Han, Ji-Seok A1 Kim, Young-Seok A1 Lee, Ji-Hyung A1 Kim, Sang-Oh A1 Lee, Sang-Sub A1 Lee, Sang-Hoon A1 Cho, Dong-Il lDanr YR 2019 K1 Notch filters K1 Learning (artificial intelligence) K1 Neural networks K1 Servomotors K1 Stability analysis K1 Approximation algorithms K1 Tuning SP 320 OP 324 LK http://dx.doi.org/https://doi.org/10.1109/CCTA.2019.8920682 DO https://doi.org/10.1109/CCTA.2019.8920682 SF ELIB - SuUB Bremen
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