In this paper, the maneuvering decision-making of UAV (Unmanned Aerial Vehicle) air combat is studied. First, the UAV maneuvering action library and UAV motion model are given, and the UAV air combat maneuver strategy payoff matrix is solved for each stage of the maneuver game through the air combat advantage function. The Nash equilibrium is solved at each stage, and the obtained Nash equilibrium solution is used as the basis for guiding maneuvering decision-making. Finally, the decision tree CART (Classification And Regression Tree) algorithm is used to process the data set and form a prediction set for maneuvering decision-making. The simulation results show that the method in this paper is effective for UAV air combat maneuver decision-making guidance.
Research on UAV Air Combat Maneuver Decision Based on Decision Tree CART Algorithm
Lect. Notes Electrical Eng.
International Conference on Autonomous Unmanned Systems ; 2022 ; Xi'an, China September 23, 2022 - September 25, 2022
Proceedings of 2022 International Conference on Autonomous Unmanned Systems (ICAUS 2022) ; Chapter : 243 ; 2638-2650
2023-03-10
13 pages
Article/Chapter (Book)
Electronic Resource
English
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