As the unmanned weap system-of systems(UWSoS)becomes complex,the inevitable uncertain interference gradu-ally increases,which leads to a strong emphasis on the resilience of UWSoS.Hence,this paper presents a resilienc...As the unmanned weap system-of systems(UWSoS)becomes complex,the inevitable uncertain interference gradu-ally increases,which leads to a strong emphasis on the resilience of UWSoS.Hence,this paper presents a resilience-driven cooperative reconfiguration strategy to enhance the resilience of UWSoS.First,a unified resilience-driven coopera-tive reconfiguration strategy framework is designed to guide the UWSoS resilience enhancement.Subsequently,a cooperative reconfiguration strategy algorithm is proposed to identify the optimal cooperative reconfiguration sequence,combining the cooperative pair resilience contribution index(CPRCI)and coop-erative pair importance index(CPII).At last,the effectiveness and superiority of the proposed algorithm are demonstrated through various attack scenario simulations that include differ-ent attack modes and intensities.The analysis results can pro-vide a reference for decision-makers to manage UWSoS.展开更多
To analyze and optimize the weapon system of systems(WSOS)scheduling process,a new method based on robust capabilities for WSOS scheduling optimization is proposed.First,we present an activity network to represent the...To analyze and optimize the weapon system of systems(WSOS)scheduling process,a new method based on robust capabilities for WSOS scheduling optimization is proposed.First,we present an activity network to represent the military mission.The member systems need to be reasonably assigned to perform different activities in the mission.Then we express the problem as a set partitioning formulation with novel columns(activity flows).A heuristic branch-and-price algorithm is designed based on the model of the WSOS scheduling problem(WSOSSP).The algorithm uses the shortest resource-constrained path planning to generate robust activity flows that meet the capability requirements.Finally,we discuss this method in several test cases.The results show that the solution can reduce the makespan of the mission remarkably.展开更多
In the field of weapon system of systems (WSOS) simulation, various indicators are widely used to describe the capability of WSOS, but it is always difficult to describe the comprehensive capability of WSOS quickly an...In the field of weapon system of systems (WSOS) simulation, various indicators are widely used to describe the capability of WSOS, but it is always difficult to describe the comprehensive capability of WSOS quickly and intuitively by visualization of multi-dimensional indicators. A method of machine learning and visualization is proposed, which can display and analyze the capabilities of different WSOS in a two-dimensional plane. The analysis and comparison of the comprehensive capability of different components of WSOS is realized by the method, which consists of six parts: multiple simulations, key indicators mining, three spatial distance calculation, fusion project calculation, calculation of individual capability density, and calculation of multiple capability ranges overlay. Binding a simulation experiment, the collaborative analysis of six indicators and 100 possible kinds of red WSOS are achieved. The experimental results show that this method can effectively improve the quality and speed of capabilities analysis, reveal a large number of potential information, and provide a visual support for the qualitative and quantitative analysis model.展开更多
针对当前武器装备体系(weapon system of systems,WSoS)任务建模分析方法难以描述各装备系统多态性的问题,结合Petri网与Markov过程提出了一种基于O-PPN的装备体系任务线程建模与分析方法。在定义武器装备体系的基础上,对装备体系的使...针对当前武器装备体系(weapon system of systems,WSoS)任务建模分析方法难以描述各装备系统多态性的问题,结合Petri网与Markov过程提出了一种基于O-PPN的装备体系任务线程建模与分析方法。在定义武器装备体系的基础上,对装备体系的使命任务进行形式化描述。改进传统Petri网,构建一种行动-性能Petri网(operation-performance Petri net,O-PPN),以满足装备体系一般任务线程的建模需要,同时针对装备系统性能退化及可能存在“提前”状态的问题,构建基于Markov的装备系统性能退化模型,通过输入各装备系统的可靠性参数得到相应的状态概率集合,并根据任务线程中各行动对于各装备系统性能水平的要求,结合作战任务及行动的任务成功与失败准则,计算装备体系整体的任务成功概率,最后通过对案例进行仿真运算,验证了所提方法的可行性。展开更多
武器装备体系(weapon system of systems,WSoS)能力规划是武器装备体系研究的重要内容.履行使命任务时,可出动的兵力以及携行可支撑能力的武器装备数量是有限的,对此,提出一种基于效能价值的武器装备体系能力规划方法.统筹考虑作战中各...武器装备体系(weapon system of systems,WSoS)能力规划是武器装备体系研究的重要内容.履行使命任务时,可出动的兵力以及携行可支撑能力的武器装备数量是有限的,对此,提出一种基于效能价值的武器装备体系能力规划方法.统筹考虑作战中各项任务能力需求,结合支撑不同能力的武器装备与相应装备数量之间的关系,快速给出不同规模部队的能力规划方案.以使命任务为牵引,分析能力需求,建立归一化作战能力效能模型;基于前景理论(prospect theory),给出考虑风险因素的作战能力效能价值函数;以装备单位数量为约束变量,构建基于效能价值的体系能力规划模型,对其求解可得出使体系效能价值最大的武器装备能力规划方案.最后,以武警部队担负的反恐处突作战任务为例,验证所提出方法的可行性和有效性.展开更多
基金This work was supported by Ph.D.Intelligent Innovation Foundation Project(201-CXCY-A01-08-19-01)Science and Technology on Information System Engineering Laboratory(05202007).
文摘As the unmanned weap system-of systems(UWSoS)becomes complex,the inevitable uncertain interference gradu-ally increases,which leads to a strong emphasis on the resilience of UWSoS.Hence,this paper presents a resilience-driven cooperative reconfiguration strategy to enhance the resilience of UWSoS.First,a unified resilience-driven coopera-tive reconfiguration strategy framework is designed to guide the UWSoS resilience enhancement.Subsequently,a cooperative reconfiguration strategy algorithm is proposed to identify the optimal cooperative reconfiguration sequence,combining the cooperative pair resilience contribution index(CPRCI)and coop-erative pair importance index(CPII).At last,the effectiveness and superiority of the proposed algorithm are demonstrated through various attack scenario simulations that include differ-ent attack modes and intensities.The analysis results can pro-vide a reference for decision-makers to manage UWSoS.
基金supported by the National Key R&D Program of China(2018YFC0806900)the China Postdoctoral Science Foundation Funded Project(2018M633757)+1 种基金the Primary Research&Development Plan of Jiangsu Province(BE2017616,BE20187540,BE2019762,BE2020729)the Jiangsu Province Postdoctoral Science Foundation Funded Project(2019K185).
文摘To analyze and optimize the weapon system of systems(WSOS)scheduling process,a new method based on robust capabilities for WSOS scheduling optimization is proposed.First,we present an activity network to represent the military mission.The member systems need to be reasonably assigned to perform different activities in the mission.Then we express the problem as a set partitioning formulation with novel columns(activity flows).A heuristic branch-and-price algorithm is designed based on the model of the WSOS scheduling problem(WSOSSP).The algorithm uses the shortest resource-constrained path planning to generate robust activity flows that meet the capability requirements.Finally,we discuss this method in several test cases.The results show that the solution can reduce the makespan of the mission remarkably.
基金supported by the National Natural Science Foundation of China(U14352186140340161273189)
文摘In the field of weapon system of systems (WSOS) simulation, various indicators are widely used to describe the capability of WSOS, but it is always difficult to describe the comprehensive capability of WSOS quickly and intuitively by visualization of multi-dimensional indicators. A method of machine learning and visualization is proposed, which can display and analyze the capabilities of different WSOS in a two-dimensional plane. The analysis and comparison of the comprehensive capability of different components of WSOS is realized by the method, which consists of six parts: multiple simulations, key indicators mining, three spatial distance calculation, fusion project calculation, calculation of individual capability density, and calculation of multiple capability ranges overlay. Binding a simulation experiment, the collaborative analysis of six indicators and 100 possible kinds of red WSOS are achieved. The experimental results show that this method can effectively improve the quality and speed of capabilities analysis, reveal a large number of potential information, and provide a visual support for the qualitative and quantitative analysis model.
文摘针对当前武器装备体系(weapon system of systems,WSoS)任务建模分析方法难以描述各装备系统多态性的问题,结合Petri网与Markov过程提出了一种基于O-PPN的装备体系任务线程建模与分析方法。在定义武器装备体系的基础上,对装备体系的使命任务进行形式化描述。改进传统Petri网,构建一种行动-性能Petri网(operation-performance Petri net,O-PPN),以满足装备体系一般任务线程的建模需要,同时针对装备系统性能退化及可能存在“提前”状态的问题,构建基于Markov的装备系统性能退化模型,通过输入各装备系统的可靠性参数得到相应的状态概率集合,并根据任务线程中各行动对于各装备系统性能水平的要求,结合作战任务及行动的任务成功与失败准则,计算装备体系整体的任务成功概率,最后通过对案例进行仿真运算,验证了所提方法的可行性。
文摘武器装备体系(weapon system of systems,WSoS)能力规划是武器装备体系研究的重要内容.履行使命任务时,可出动的兵力以及携行可支撑能力的武器装备数量是有限的,对此,提出一种基于效能价值的武器装备体系能力规划方法.统筹考虑作战中各项任务能力需求,结合支撑不同能力的武器装备与相应装备数量之间的关系,快速给出不同规模部队的能力规划方案.以使命任务为牵引,分析能力需求,建立归一化作战能力效能模型;基于前景理论(prospect theory),给出考虑风险因素的作战能力效能价值函数;以装备单位数量为约束变量,构建基于效能价值的体系能力规划模型,对其求解可得出使体系效能价值最大的武器装备能力规划方案.最后,以武警部队担负的反恐处突作战任务为例,验证所提出方法的可行性和有效性.
