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In this paper, considering the complex dynamic air combat environment, we propose to solve the autonomous decision-making problem of UAV based on graph neural network and sequential convolution network algorithm, and discuss the two basic control modes and autonomous boundary decision problems of intervention control and shared control in man-machine hybrid control, which provide a feasible way for UAV autonomous decision-making in the current man-machine coexistence system.

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Study on Autonomous Decision-Making and Hybrid Control of UAV in Complex Dynamic Air Warfare Environment

  • 会议论文

  • 发表日期：

    2025年

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  • Xiqian Hou,
  • Yawei Ge,
  • Zenglei Lu

摘要

In this paper, considering the complex dynamic air combat environment, we propose to solve the autonomous decision-making problem of UAV based on graph neural network and sequential convolution network algorithm, and discuss the two basic control modes and autonomous boundary decision problems of intervention control and shared control in man-machine hybrid control, which provide a feasible way for UAV autonomous decision-making in the current man-machine coexistence system.