Research on UAV Air Combat Maneuver Decision Based on Q-Learning Algorithm

YAO Peiyuan; WEI Xiaolong; YU Lixin; LI Shenghou

doi:10.3969/j.issn.1671-637x.2023.05.004

Journals >Electronics Optics & Control >Volume 30 >Issue 5 >Page 16 > Article

Electronics Optics & Control
Vol. 30, Issue 5, 16 (2023)

Research on UAV Air Combat Maneuver Decision Based on Q-Learning Algorithm

YAO Peiyuan, WEI Xiaolong, YU Lixin, and LI Shenghou

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[in Chinese]

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DOI: 10.3969/j.issn.1671-637x.2023.05.004 Cite this Article

YAO Peiyuan, WEI Xiaolong, YU Lixin, LI Shenghou. Research on UAV Air Combat Maneuver Decision Based on Q-Learning Algorithm[J]. Electronics Optics & Control, 2023, 30(5): 16 Copy Citation Text

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References

[1] ERNEST N,CARROLL D,SCHUMACHER C,et al.Genetic fuzzy based artificial intelligence for unmanned combat aerial vehicle control in simulated air combat mission［J］.Journal of Defense Management,2016,6(1).doi:10.4172/2167-0374.1000144.

[2] YIN Y F,GONG G H,HAN L.An approach to pilot air-combat behavior assessment［J］.Procedia Engineering, 2011,15:4036-4040.

[5] SU M C,LAI S C,LIN S C,et al.A new approach to multi-aircraft air combat assignments［J］.Swarm and Evolutionary Computation,2012(6):39-46.

[7] JI H M,YU M J,HAN Q S,et al． Research on the air combat countermeasure generation based on improved TIMS model［J］.Journal of Physics:Conference Series,2018, 1069(1):012039.

[14] WATKINS C J C H,DAYAN P.Q-learning［J］.Machine Learning,1992,3(8):279-292.

YAO Peiyuan, WEI Xiaolong, YU Lixin, LI Shenghou. Research on UAV Air Combat Maneuver Decision Based on Q-Learning Algorithm[J]. Electronics Optics & Control, 2023, 30(5): 16

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