Reinforcement Model for Unmanned Combat System of Systems Based Multi-Layer Grey Target

被引：0

作者：

Hao, Xueting ^{[1
,2
]}

Fang, Zhigeng ^{[1
,2
]}

Zhang, Jingru ^{[1
,2
]}

Deng, Fei ^{[3
]}

Jiang, Ankang ^{[1
,2
]}

Xiao, Shuyu ^{[1
,2
]}

机构：

[1] Nanjing Univ Aeronaut & Astron, Coll Econ & Management, Nanjing 211106, Jiangsu, Peoples R China

[2] Nanjing Univ Aeronaut & Astronaut, Inst Grey Syst Studies, Nanjing 211106, Jiangsu, Peoples R China

[3] Shanghai Yuda Ind Co Ltd, 251 Changning Rd, Shanghai 200240, Peoples R China

来源：

JOURNAL OF GREY SYSTEM | 2024年 / 36卷 / 02期

基金：

中国国家自然科学基金;

关键词：

Unmanned combat system of systems(UCSoS); Multi-layer grey target; Reinforcement model; The Agent technology; GERT technique;

D O I：

暂无

中图分类号：

O1 [数学];

学科分类号：

0701 ; 070101 ;

摘要：

In the future battlefield, unmanned combat mode will be crucial. Its attack strategy formulation is a significant and complex task. To address the issue of decision-making in unmanned combat system of systems(UCSoS) striking strategy, this paper begins by analyzing the characteristics of UCSoS. By utilizing the GERT concept, an unmanned combat A-GERT network is developed to provide parameter support for evaluating its effectiveness. Secondly, for effectiveness evaluation,a multi-layer gray target model built on the A-GERT network is proposed. This model is utilized to formulate optimal striking scheme for the UCSoS. And Agent technology is employed to solve the intelligent learning decision-making problem for UCSoS based on multi-layer grey target model. Finally, a case study illustrates the efficiency and effectiveness of the reinforcement model for UCSoS based on multi-layer grey target.

引用

页数：109

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