Open Access
Issue |
JNWPU
Volume 41, Number 1, February 2023
|
|
---|---|---|
Page(s) | 56 - 64 | |
DOI | https://doi.org/10.1051/jnwpu/20234110056 | |
Published online | 02 June 2023 |
- EHTAMO H, RAIVIO T. On Applied nonlinear and bilevel programming for some pursuit-evasion games[J]. Journal of Optimization Theory and Applications, 2001, 108(1): 65–96 [Article] [Google Scholar]
- GU Jiaojiao, ZHAO Jianjun, LIU Weihua. Air combat maneuvering decision framework based on game theory and memetic algorithm[J]. Electronics Optics & Control, 2015, 22(1): 20–23 [Article] (in Chinese) [CrossRef] [Google Scholar]
- WAN Wei, JIANG Changsheng, WU Qingxian. Application of one-step prediction influence diagram in air combat maneuvering decision[J]. Electronics Optics & Control, 2009, 16(7): 13–17 [Article] (in Chinese) [Google Scholar]
- KUMAR S, JAIN S, KUMAR H. Prediction of jatropha-algae biodiesel blend oil yield with the application of artificial neural networks technique[J]. Energy Sources, 2018, 41(7/8/9/10/11/12): 1285–1295 [Google Scholar]
- SMITH R E, DIKE B A, MEHRA R K. Classifier systems in combat: two-sided learning of maneuvers for advanced fighter aircraft[J]. Computer Methods in Applied Mechanics and Engineering, 2000, 186(2/3/4): 421–437 [Article] [Google Scholar]
- DING Linjing, YANG Qiming. Research on air combat maneuver decision of UAVs based on reinforcement learning[J]. Avionics Technology, 2018, 49(2): 29–35 [Article] (in Chinese) [Google Scholar]
- YANG Q, ZHANG J, SHI G, et al. Maneuver decision of UAV in short-range air combat based on deep reinforcement learning[J]. IEEE Access, 2020, 8: 363–378 [Article] [CrossRef] [Google Scholar]
- BAI S, SONG S, LIANG S, et al. UAV maneuvering decision-making algorithm based on twin delayed deep deterministic policy gradient algorithm[J]. Journal of Artificial Intelligence and Technology, 2022, 2(1): 16–22 [Google Scholar]
- LI B, YANG Z P, CHEN D Q, et al.Maneuvering target tracking of UAV based on MN-DDPG and transfer learning[J]. Defence Technology, 2021, 17(2): 457–466 [Article] [CrossRef] [Google Scholar]
- WANG L, HU J, XU Z, et al.Autonomous maneuver strategy of swarm air combat based on DDPG[J]. Journal of Artificial Intelligence and Technology, 2021, 1(1): 232–243 [Article] [Google Scholar]
- ZHANG J, YANG Q, SHI G, et al.UAV cooperative air combat maneuver decision based on multi-agent reinforcement learning[J]. Journal of Systems Engineering & Electronics, 2021, 32(6): 1421–1438 [Google Scholar]
- HAN Zhanpeng, WANG Yuhui, CHENG Cong. Summary on situation assessment method research[J]. Aero Weaponry, 2013(1): 14–19 [Article] (in Chinese) [Google Scholar]
- MAO Mengyue, ZHANG An, ZHOU Ding, et al. Reinforcement learning of UCAV air combat based on maneuver prediction[J]. Electronics Optics and Control, 2019, 26(2): 5–10 [Article] (in Chinese) [Google Scholar]
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.