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Daichi Wada, Sergio A. Araujo-Estrada and Shane Windsor
Deep reinforcement learning is a promising method for training a nonlinear attitude controller for fixed-wing unmanned aerial vehicles. Until now, proof-of-concept studies have demonstrated successful attitude control in simulation. However, detailed exp...
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Ivana Gledic, Antonio Mikulic and Jo?ko Parunov
Specialized procedures to help in the emergency response situations following ship accidents have been under development by the Classification Societies. Such procedures consider the hull-girder collapse as the most important failure mode, without the po...
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Jingang Han, Xu Li and Tianhao Tang
With the rapid development of renewable energy technology, marine current energy is treated as the most desirable form of ocean energies. Due to the nature of marine current energy, simple structure, high reliability, and good control performance are the...
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Haijiang Li, Hongxiang Ren, Xingfeng Duan and Chang Wang
It is a challenging work to simulate wind and waves in virtual scenes of marine simulators. In this paper, a divergence-free position based fluid (DFPBF) framework is introduced for ocean wave modeling in marine simulators. We introduce a set of constant...
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Haoming Liu, Suxiang Yang, Wei Tian, Min Zhao, Xiaoling Yuan and Bofeng Xu
The operational environment of offshore wind turbines is much more complex than that of onshore wind turbines. Facing the persistent wind and wave forces, offshore wind turbines are prone to vibration problems, which are not conducive to their long-term ...
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