1. Study on UAV Offensive/Defensive Game Strategy Based on Uncertain Information.
- Author
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CHEN Xia, LIU Min, and HU Yong-xin
- Subjects
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DRONE aircraft , *PROBABILITY theory , *BALLISTIC missiles , *NASH equilibrium , *PARTICLE swarm optimization , *ALGORITHMS , *SIMULATION methods & models - Abstract
The offensive/defensive problem of unmanned aerial vehicle (UAV) in an uncertain environment was presented by analyzing the uncertain information of target value and damage probability. An offensive/defensive payoff function of UAV in the case of uncertain information was established based on the information value of friend and enemy's missiles, and the offensive/defensive game payoff matrix was built. The Nash equilibrium of the game was obtained by combining the particle swarm optimization algorithm and the interval number multiple attribute ranking method in the case of uncertain information. A new method for UAV offensive/defensive game to achieve optimal strategy was proposed. Finally the feasibility and effectiveness of the method was verified by simulation. [ABSTRACT FROM AUTHOR]
- Published
- 2012