MASAC-based confrontation game method of UAV clusters

Author:

王 尔申,刘 帆,宏 晨,郭 靖,何 宁,赵 琳,薛 健

Publisher

Science China Press., Co. Ltd.

Subject

Engineering (miscellaneous),General Computer Science

Reference31 articles.

1. Luo D L, Xu Y, Zhang J P. New progresses on UAV swarm confrontation. Sci Technol Rev, 2017, 35: 26--31.

2. Wang E S, Guo J, Hong C, et al. The cooperative confrontation model of UAVs with random spatial networks. J Beijing Univ Aeronaut Astronaut, 2021.

3. Wang E S, Guo J, Hong C, et al. UAV swarm air-ground engagement model with improved payoff. J Nanjing Univ Aeronaut Astronaut, 2021, 53: 888--897.

4. Duan H B, Li P. Autonomous control for unmanned aerial vehicle swarms based on biological collective behaviors. Sci Technol Rev, 2017, 35: 17--25.

5. Duan H, Zhang D, Fan Y. From wolf pack intelligence to UAV swarm cooperative decision-making. Sci Sin-Inf, 2019, 49: 112-118.

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2. MADRL-based UAV swarm non-cooperative game under incomplete information;Chinese Journal of Aeronautics;2024-06

3. Planning and guidance challenges in a “group-to-group” collaborative confrontation;SCIENTIA SINICA Technologica;2024-01-01

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