A dynamic game method for multi-unmanned aerial vehicle air battle under uncertain information

Abstract

The invention relates to a dynamic game method for multi-unmanned aerial vehicle air battle under uncertain information and belongs to the technical field of aircraft testing and unmanned aerial vehicles. The method comprises the steps of building an unmanned aerial vehicle air battle dynamic game strategy set; building payoff functions of unmanned aerial vehicles of both sides; performing state transition between the functions; calculating a dynamic game Nash equilibrium under interval information; building a system interface and giving a dynamic game combat strategy for multi-unmanned aerial vehicle air battle under uncertain information. The incomplete information dynamic game model method for multi-unmanned aerial vehicle combat can contribute to the development of unmanned combat aerial vehicles of China; being applied to a multi-unmanned aerial vehicle combat platform, the game theory has high theoretical value and practical importance for improvement of ability to survival and combat effectiveness.

Description

technical field [0001] The invention relates to a multi-UAV air combat dynamic game method under uncertain information, which belongs to the technical field of aircraft test and UAV. Background technique [0002] The information on the modern battlefield is becoming more and more complex. The application of game theory in multi-UAV air combat has attracted the attention of military experts at home and abroad, and has also become a theory of military decision-making in complex battlefield information variables. The classification of multi-UAV air combat games can have different classifications according to different benchmarks. It is generally believed that multi-UAV air combat games can be mainly divided into cooperative games and non-cooperative games. From the time sequence of UAV air combat behavior, multi-UAV air combat game theory can be divided into static air combat game and dynamic air combat game. In terms of the degree to which the enemy's air combat and our UAVs...

AI Technical Summary

Problems solved by technology

[0004] ① There are many researches on multi-UAV offensive and defensive confrontation game under complete information, but less research on UAV offensive and defensive confrontation game under incomplete information

[0005] ② There are many static game methods used in multi-UAV offensive and defensive confrontation, but less research on dynamic game methods

[0006] ③There are many methods of using complete and perfect information game methods for multi-UAV air combat, but there are few researches on real-time strategy dynamic programming for UAV air combat games under uncertain information

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