Optimization Method of Underwater Flapping Foil Propulsion Performance Based on Gaussian Process Regression and Deep Reinforcement Learning
In order to overcome the complexity and variability of underwater working environments, as well as the difficulty of controlling the flapping motion due to the significant nonlinear characteristics and numerous variables involved, a direct exploration approach is proposed to search for the optimal f...
Saved in:
Main Author: | YANG Yinghe, WEI Handi, FAN Dixia, LI Ang |
---|---|
Format: | Article |
Language: | zho |
Published: |
Editorial Office of Journal of Shanghai Jiao Tong University
2025-01-01
|
Series: | Shanghai Jiaotong Daxue xuebao |
Subjects: | |
Online Access: | https://xuebao.sjtu.edu.cn/article/2025/1006-2467/1006-2467-59-1-70.shtml |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Ince-Gaussian laser beams as superposition of Hermite-Gaussian or Laguerre-Gaussian beams
by: E.G. Abramochkin, et al.
Published: (2024-08-01) -
Interaction of counter-propagating relativistic laser pair with subwavelength thin solid-density foil
by: X. R. Jiang, et al. -
Gaussian-bihyperbolic Numbers Containing Pell and Pell-Lucas Numbers
by: Hasan Gökbaş
Published: (2023-03-01) -
Propulsion aéronautique : études expérimentales de la combustion
by: Vincent-Randonnier, Axel
Published: (2024-11-01) -
Fingertip traumatic amputations in children. Treatment with semiocclusive foil dressings-preliminary results
by: Dimitar Trizlov, et al.
Published: (2023-09-01)