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基于拓展HTN分解框架的编队多层级任务分解方法

鲍尚华 王军 张贤椿 曹凡 张驰宸 谢姜琪 杨玉充

指挥控制与仿真2025,Vol.47Issue(5):24-35,12.
指挥控制与仿真2025,Vol.47Issue(5):24-35,12.DOI:10.3969/j.issn.1673-3819.2025.05.004

基于拓展HTN分解框架的编队多层级任务分解方法

Multi-tiered mission decomposition method for formation based on extended HTN decomposition framework

鲍尚华 1王军 1张贤椿 1曹凡 1张驰宸 1谢姜琪 1杨玉充1

作者信息

  • 1. 南京理工大学 自动化学院,江苏 南京 210094
  • 折叠

摘要

Abstract

The high concurrency and tight coupling of elements in cross-domain collaborative operations complicate mission decomposition.Two key challenges are the lack of smoothness in the decomposition process and the handling of uncertain missions.To address these,this paper proposes a multi-tiered mission decomposition method based on an extended HTN(Hierarchical Task Network)framework.HTN,which recursively breaks down complex missions into subtasks,offers struc-tured modeling and adaptability to dynamic battlefields.This study extends HTN by integrating a knowledge base,using for-mation hierarchy as a key element.A knowledge base matching and evaluation method is also introduced to address uncertain missions caused by unclear intelligence and complex conditions.Validation with specific operational scenarios shows that the proposed method improves decomposition smoothness,handles uncertainty effectively,and enhances mission adaptability and executability.

关键词

层级任务网络/编队多层级/作战任务/任务分解

Key words

hierarchical task network/multi-tiered formation/operational missions/mission decomposition

分类

信息技术与安全科学

引用本文复制引用

鲍尚华,王军,张贤椿,曹凡,张驰宸,谢姜琪,杨玉充..基于拓展HTN分解框架的编队多层级任务分解方法[J].指挥控制与仿真,2025,47(5):24-35,12.

指挥控制与仿真

1673-3819

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