2013Applied Mechanics and MaterialsOpen access

Multi-UAV Air-Combat Strategy Research Base on the Incomplete Information Dynamic Game in Uncertain Environment

Xia Chen, Ming Zhao

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Abstract

This paper established the multi UAV incomplete information dynamic game model under uncertain environment based on incomplete information dynamic game theory and the problem of multi UAV attack-defend; for the interval information payment matrix under the uncertain environment, solve the incomplete information dynamic game Bayesian Nash equilibrium solution and get the optimal UAV combat strategy sequence. The simulations results show that the model could apply to the problem of UAV attack-defends campaign under uncertain environment reasonably and have better application value.

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What this paper is about

This paper established the multi UAV incomplete information dynamic game model under uncertain environment based on incomplete information dynamic game theory and the problem of multi UAV attack-defend; for the interval information payment matrix under the uncertain environment, solve the incomplete information dynamic game Bayesian Nash equilibrium solution and get the optimal UAV combat strategy sequence. The simulations results show that the model could apply to the problem of UAV attack-defends campaign under uncertain environment reasonably and have better application value.

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Available abstract

This paper established the multi UAV incomplete information dynamic game model under uncertain environment based on incomplete information dynamic game theory and the problem of multi UAV attack-defend; for the interval information payment matrix under the uncertain environment, solve the incomplete information dynamic game Bayesian Nash equilibrium solution and get the optimal UAV combat strategy sequence. The simulations results show that the model could apply to the problem of UAV attack-defends campaign under uncertain environment reasonably and have better application value.

Key concepts: Complete information, Bayesian game, Nash equilibrium, Interval (graph theory), Computer science, Sequential game, Game theory, Mathematical optimization

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