1.南京理工大学 机械工程学院,江苏 南京 210094
2.中国兵器工业第208研究所,北京 102202
邮箱:ypw105727@163.com
收稿:2025-10-20,
网络首发:2026-09-04,
纸质出版:2026-08-31
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胡灿灿,王亚平,张煜等.考虑弱依赖关系的异质作战网络鲁棒性分析方法[J].兵工学报,2026,47(08):250930.
HU Cancan,WANG Yaping,ZHANG Yu,et al.Robustness Analysis Method for Heterogeneous Combat Networks Considering Weak Dependency Relationships[J].ACTA ARMAMENTARII,2026,47(08):250930.
胡灿灿,王亚平,张煜等.考虑弱依赖关系的异质作战网络鲁棒性分析方法[J].兵工学报,2026,47(08):250930. DOI: 10.12382/bgxb.2025.0930.
HU Cancan,WANG Yaping,ZHANG Yu,et al.Robustness Analysis Method for Heterogeneous Combat Networks Considering Weak Dependency Relationships[J].ACTA ARMAMENTARII,2026,47(08):250930. DOI: 10.12382/bgxb.2025.0930.
现代战争中的武器装备体系由多种类型的装备通过多重交互耦合而成,呈现出显著的异构性和关联性,可被抽象为一种复杂的异类网络。装备体系异质作战网络的鲁棒性分析对于提升装备体系的弹性和恢复能力具有重要的作用,提出一种称为考虑弱依赖关系的装备体系异质作战网络鲁棒性分析方法。构建包含弱依赖组的多层异质作战网络模型,提出多重依赖的层间失效和具备弱依赖关系的层内失效模型,将作战网络的作战能力与最大连通子图进行融合形成鲁棒性融合评估指数,从功能和结构耦合视角量化装备体系的鲁棒性。通过多攻击策略仿真试验表明,所提方法在进行异质作战网络鲁棒性分析中的有效性和合理性,为研究网络鲁棒性、优化网络设计提供一定的参考价值。
Modern warfare equipment system-of-systems are formed by multiple types of equipment with complex interactions, exhibiting significant heterogeneity and interdependence, which can be abstracted as a complex heterogeneous network. The robustness analysis of heterogeneous combat networks for equipment system-of-systems is crucial for enhancing the system resilience and recovery capability. A robustness analysis method of heterogeneous combat network for equipment system-of-systems, which takes into account weak dependency relationships, is proposed. Specifically, a multilayer heterogeneous combat network model that includes weakly dependent groups is constructed, and the inter-layer failure models for multiple dependencies and for weak dependencies are proposed. The combat capability of the combat network is integrated with the largest connected component to form a robustness fusion evaluation index, which quantifies the robustness of equipment system-of-systems from the perspectives of function and structural coupling. Simulation experiments under multiple attack strategies demonstrate that the proposed method has the effectiveness and rationality in the robustness analysis of heterogeneous combat network , offering valuable insights for the robustness research and optimization design of network.
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