Autonomous Maneuver Decision-Making of UCAV with Incomplete Information in Human-Computer Gaming

Autonomous Maneuver Decision-Making of UCAV with Incomplete Information in Human-Computer Gaming

Blog Article

In human-computer gaming scenarios, the autonomous decision-making problem of an unmanned combat air vehicle (UCAV) is a complex sequential decision-making problem involving multiple decision-makers.In this paper, an autonomous maneuver decision-making method for UCAV that considers the partially observable states of Human (the adversary) is proposed, building on a game-theoretic approach.The maneuver decision-making process within the current time horizon read more is modeled as a game of Human and UCAV, which significantly reduces the computational complexity of the entire decision-making process.

In each established game decision-making model, an improved maneuver library that contains all possible maneuvers (called the continuous maneuver library) Airliner is designed, and each of these maneuvers corresponds to a mixed strategy of the established game.In addition, the unobservable states of Human are predicted via the Nash equilibrium strategy of the previous decision-making stage.Finally, the effectiveness of the proposed method is verified by some adversarial experiments.