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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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Antonio Carlo Bertolino, Matteo Gaidano, Stefano Smorto, Paolo Giovanni Porro and Massimo Sorli
Vibrations generated by the main rotor-gearbox assembly in a helicopter are the principal cause of damage to cockpit instruments and crew discomfort in terms of cabin noise. The principal path of vibration transmission to the fuselage is through the gear...
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Loïck Degorre, Emmanuel Delaleau and Olivier Chocron
With the increasing number of applications for both surface and underwater autonomous vehicles, a great amount of control methods and guidance principles has been developed over the years. This work proposes a review of the most common of these methods. ...
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Yang-Kuei Lin, Chien-Fu Chen and Tien-Yin Chou
Convenience store chains are many people?s top choice for dining and leisure and have logistics procedures that involve each store receiving multiple deliveries because of the varying delivery periods and suitable temperatures for different goods. The es...
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Bingyu Li, Lei Wang, Qiaoyong Jiang, Wei Li and Rong Huang
In view of the limitations of traditional statistical methods in dealing with multifactor and nonlinear data and the inadequacy of classical machine learning algorithms in dealing with and predicting data with high dimensions and large sample sizes, this...
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