16   Artículos

 
en línea
Yuzhu Zhang and Hao Xu    
This study investigates the problem of decentralized dynamic resource allocation optimization for ad-hoc network communication with the support of reconfigurable intelligent surfaces (RIS), leveraging a reinforcement learning framework. In the present co... ver más
Revista: Algorithms    Formato: Electrónico

 
en línea
Fengyuan Yin, Xiaoming Yuan, Zhiao Ma and Xinyu Xu    
Permanent magnet synchronous motor (PMSM) drive systems are commonly utilized in mobile electric drive systems due to their high efficiency, high power density, and low maintenance cost. To reduce the tracking error of the permanent magnet synchronous mo... ver más
Revista: Algorithms    Formato: Electrónico

 
en línea
Guangxiu Ning, Lide Su, Yong Zhang, Jian Wang, Caili Gong and Yu Zhou    
Due to its flexibility and versatility, the electric distributed drive micro-tillage chassis can be used more often in the future in Intelligence agriculture scenarios. However, due to the complex working conditions of the agricultural operation environm... ver más
Revista: Agriculture    Formato: Electrónico

 
en línea
Jiachi Zhao, Jun Li and Lifang Zeng    
Birds and experienced glider pilots frequently use atmospheric updrafts for long-distance flight and energy conservation, with harvested energy from updrafts serving as the foundation. Inspired by their common characteristics in autonomous soaring, a rei... ver más
Revista: Aerospace    Formato: Electrónico

 
en línea
Mengjing Gao, Tian Yan, Quancheng Li, Wenxing Fu and Jin Zhang    
As defense technology develops, it is essential to study the pursuit?evasion (PE) game problem in hypersonic vehicles, especially in the situation where a head-on scenario is created. Under a head-on situation, the hypersonic vehicle?s speed advantage is... ver más
Revista: Aerospace    Formato: Electrónico

 
en línea
Jiqing Du, Dan Zhou, Wei Wang and Sachiyo Arai    
The Deep Reinforcement Learning (DRL) algorithm is an optimal control method with generalization capacity for complex nonlinear coupled systems. However, the DRL agent maintains control command saturation and response overshoot to achieve the fastest res... ver más
Revista: Journal of Marine Science and Engineering    Formato: Electrónico

 
en línea
Yunhe Guo, Zijian Jiang, Hanqiao Huang, Hongjia Fan and Weiye Weng    
In order to improve the problem of overly relying on situational information, high computational power requirements, and weak adaptability of traditional maneuver methods used by hypersonic vehicles (HV), an intelligent maneuver strategy combining deep r... ver más
Revista: Aerospace    Formato: Electrónico

 
en línea
Minseok Kong and Jungmin So    
There are several automated stock trading programs using reinforcement learning, one of which is an ensemble strategy. The main idea of the ensemble strategy is to train DRL agents and make an ensemble with three different actor?critic algorithms: Advant... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Shuchang Liu, Zhong Yang, Zhao Zhang, Runqiang Jiang, Tongyang Ren, Yuan Jiang, Shuang Chen and Xiaokai Zhang    
The aircraft anti-skid braking system (AABS) plays an important role in aircraft taking off, taxiing, and safe landing. In addition to the disturbances from the complex runway environment, potential component faults, such as actuators faults, can also re... ver más
Revista: Aerospace    Formato: Electrónico

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