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Zhiqiang Niu, Shengnan Wu and Xuesong (Simon) Zhou
Focusing on the dynamic improvement of the underlying service network configuration, this paper aims to address a specific challenge of redesigning a multi-echelon city logistics distribution network. By considering the intra-echelon connection of facili...
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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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Wenhua Li, Xiongyan Liu, Gen Li, Shanying Lin, Hangyu Li and Yangyuan Ge
In this paper, the nonlinear stiffness of a polyester rope under dynamic loads at different temperatures was experimentally investigated. The effects and evolution of the average load, load period and load amplitude on dynamic stiffness were studied. The...
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Weifeng Xu, Xianku Zhang and Haoze Wang
Tank level control has some unavoidable factors such as disturbance, non-linearity, and time lag. This paper proposes a simple and robust control scheme with nice energy-saving effects and smooth output to improve the quality of the controller and meet r...
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Mengchuang Zhang, Shasha Xia, Yongsheng Huang, Jiawei Tian and Zhiping Yin
Flight maneuver recognition (FMR) is a critical tool for capturing essential information about the state of an aircraft, which is necessary to improve pilot training, flight safety, and autonomous air combat. However, due to the alignment of multidimensi...
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