Hybrid Variable Structure DBN Mission Decision-Making Method for UAV Swarm

Bowei Liu, Jingliang Sun, Teng Long, Dawei Liu, Yan Cao

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

To cope with the dynamic mission decision-making issue in complex environments for UAV swarm, a hybrid variable structure-based dynamic Bayesian network (HVSDBN) inference decision-making method is proposed. Firstly, the UAV swarm mission decision-making model is established to assess the UAV swarm state and threat state accurately. To further improve the accuracy of decision-making, the threat assessment model and swarm state assessment model are built by using mixed continuous and discrete variables, respectively. Furthermore, a dynamic HVSDBN decision-making algorithm based on hybrid performance-capability parameters is proposed, which can adjust the structure of the decision model according to the priori information and observation data to improve the adaptability of the solution strategy. Simulation results demonstrate that, the HVSDBN method can im-prove the variance of decision results by 25.03% compared with traditional method, which effectively improves the accuracy of UAV swarm mission decision-making under complex dynamic environment.

源语言英语
主期刊名Proceedings of 2023 IEEE 12th Data Driven Control and Learning Systems Conference, DDCLS 2023
出版商Institute of Electrical and Electronics Engineers Inc.
943-948
页数6
ISBN(电子版)9798350321050
DOI
出版状态已出版 - 2023
活动12th IEEE Data Driven Control and Learning Systems Conference, DDCLS 2023 - Xiangtan, 中国
期限: 12 5月 202314 5月 2023

出版系列

姓名Proceedings of 2023 IEEE 12th Data Driven Control and Learning Systems Conference, DDCLS 2023

会议

会议12th IEEE Data Driven Control and Learning Systems Conference, DDCLS 2023
国家/地区中国
Xiangtan
时期12/05/2314/05/23

指纹

探究 'Hybrid Variable Structure DBN Mission Decision-Making Method for UAV Swarm' 的科研主题。它们共同构成独一无二的指纹。

引用此