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Wenbo Gao, Muxuan Pan, Wenxiang Zhou, Feng Lu and Jin-Quan Huang
Due to the strong representation ability and capability of learning from data measurements, deep reinforcement learning has emerged as a powerful control method, especially for nonlinear systems, such as the aero-engine control system. In this paper, a n...
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Yuji Takubo and Masahiro Kanazaki
Landing of supersonic transport (SST) suffers from a large uncertainty due to its highly sensitive aerodynamic properties in the subsonic domain, as well as the wind gusts around runways. At the vehicle design stage, a landing trajectory optimization und...
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Wenting Li, Xiuhui Zhang, Yunfeng Dong, Yan Lin and Hongjue Li
Multi-stage launch vehicles are currently the primary tool for humans to reach extraterrestrial space. The technology of recovering and reusing rockets can effectively shorten rocket launch cycles and reduce space launch costs. With the development of de...
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Guanghui Liu, Xiaohui Wang, Yuebo Meng, Yalin Zhang and Tingting Chen
Thermal discomfort body language has been shown to be a psychological representation of personnel?s particular thermal comfort. Individual thermal comfort differences are ignored in public building settings with random personnel flow. To solve this issue...
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Lu Zhang, Hongyu Yang and Xiping Wu
Air traffic management (ATM) relies on the running condition of the air traffic control sector (ATCS), and assessing whether it is overloaded is crucial for efficiency and safety for the entire aviation industry. Previous approaches to evaluating air tra...
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