|
|
|
|
|
Hanqiao Huang, Weiye Weng, Huan Zhou, Zijian Jiang and Yue Dong
When facing problems in the aerial pursuit game, most of the current unmanned aerial vehicles (UAVs) have good maneuverability performance, but it is difficult to utilize the overload maneuverability of UAVs properly; further, UAVs tend to be more costly...
ver más
|
|
|
|
|
|
|
|
|
|
|
Yujie Wei, Hongpeng Zhang, Yuan Wang and Changqiang Huang
Maneuver decision-making is essential for autonomous air combat. However, previous methods usually make decisions to aim at the target instead of hitting the target and use discrete action spaces instead of continuous action spaces. While these simplific...
ver más
|
|
|
|
|
|
|
|
|
|
|
Yixiong He, Zijun Du, Liwen Huang, Deqing Yu and Xiao Liu
A maneuvering decision-making model based on time series rolling and feedback compensation methods is proposed to solve the problem of high traffic risk in Chengshantou traffic separation scheme (TSS) waters. Firstly, a digital traffic environment model ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Pengcheng Wu, Hongqiao Wang, Gaowei Liang and Peng Zhang
Unmanned aerial vehicle (UAV) swarm coordinated confrontation is a hot topic in academic research at home and abroad, and dynamic maneuver decision-making is one of the most important research fields for UAV countermeasures. Aiming at the complexity, unc...
ver más
|
|
|
|
|
|
|
|
|
|
|
Yongfeng Li, Yongxi Lyu, Jingping Shi and Weihua Li
With the improvement of UAV performance and intelligence in recent years, it is particularly important for unmanned aerial vehicles (UAVs) to improve the ability of autonomous air combat. Aiming to solve the problem of how to improve the autonomous air c...
ver más
|
|
|
|
|
|
|
|
|
|
|
Xiaoxiong Liu, Yi Yin, Yuzhan Su and Ruichen Ming
To solve the problems of autonomous decision making and the cooperative operation of multiple unmanned combat aerial vehicles (UCAVs) in beyond-visual-range air combat, this paper proposes an air combat decision-making method that is based on a multi-age...
ver más
|
|
|
|
|
|