An Approach for Weapon System-of-Systems Scheme Generation Based on a Supernetwork Granular Analysis

Zhao, Qingsong; Li, Shanfei; Dou, Yajie; Wang, Xiaopan; Yang, Kewei

doi:10.1109/jsyst.2015.2456105

Cited by 19 publications

(5 citation statements)

References 25 publications

(26 reference statements)

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“…There are different types of interaction between nodes. Zhao [22] established a weapon equipment system super network, and proposed a granular analysis to reduce the complexity of the weapon equipment system scheme generation based on the network-centric combat mode. The super network includes task sub-network, capability sub-network and system subnetwork.…”

Section: A the Equipment System-of-systems Architecturementioning

confidence: 99%

An Optimal Searching Algorithm for the Equipment System-of-Systems Architecture Space With Uncertain Capabilities

et al. 2020

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Systematic operations make modern wars more and more complicated, thus it is a challenge to design, develop, and select an excellent System-of-Systems. In this paper, we propose an equipment Systemof-Systems architecture (ESoSA) formalization framework based on the super network and an architecture space searching algorithm. First, the formal definition of ESoSA and the problem of ESoSA space searching problem framework are introduced, where the searching problem is transferred into a multi-agent dynamic programming problem. Each agent searches for the optimal architecture in its corresponding architecture space, and different architecture spaces may overlap with each other. Second, the objective of the problem is to choose several optimal architectures with maximized sampling rewards and minimized cumulative searching costs. Third, a sequential search algorithm based on decision indicators is proposed to solve the problem. Finally, the proposed algorithm is evaluated by simulation experiments, where the experimental results show that the proposed algorithm is with high quality, and outperforms other benchmark algorithms. INDEX TERMS super-network based architecture, multi-agent dynamic programming, sequential search I. INTRODUCTION T HE interconnection between weapons has become more and more diverse currently [1]. Particularly, the widespread use of unmanned systems has led to major changes in the combat methods of modern warfare [2], [3], and it is a challenging issue to study warfare. The equipment system-of-systems (ESoS) [4] is a manifestation of the SoS 1 in the field of warfare. The ESoS is such complicated, and how to study the ESoS is a problem that needs to be solved urgently. Fortunately, the architecture provides an effective way to study this problem. The architecture is the combination of component systems in the ESoS and the interaction among component systems and with the external environment [7], [8]. In systems engineering, the ESoS architecture runs through the entire process, including requirement

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Section: A the Equipment System-of-systems Architecturementioning

confidence: 99%

An Optimal Searching Algorithm for the Equipment System-of-Systems Architecture Space With Uncertain Capabilities

et al. 2020

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“…Gao et al [19] proposed a super-network model of command and control system, that includes observation nodes, command and control nodes, and effect nodes, and relationships between the three types of nodes. Zhao et al [20] established a weapon equipment system super-network model based on the network-centric mode, and a granular analysis is proposed to reduce the complexity of weapon system generation schemes based on the theory of quotient space. A multi-layer command and control super-network model is proposed based on attribute collaborative prioritization and hypergraph theory, including three levels and five types of networks [21].…”

Section: B the Super-network Modelmentioning

confidence: 99%

An Optimal Approach for Combat System-of-Systems Architecture Search Under Uncertainty

et al. 2019

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The systematic and network-centric warfare becomes complicated currently. It is a challenge problem to design and choose the optimal combat system-of-systems to complete missions. In order to solve this challenge, we propose a super-network model based combat system-of-systems architecture (CSoSA) and a scheme space exploration algorithm in this paper. First, a formal definition of CSoSA is given based on the operational capability generation elements. The framework for CSoSA scheme space exploration problem is then presented. The goal of the problem is to select the optimal architecture with maximized expected rewards and minimized cumulative costs. In addition, a novel and optimal algorithm for CSoSA dynamic exploration is proposed based on the greedy search algorithm. Finally, we evaluated our algorithm through simulation experiments, where the results showed that our algorithm is significantly better than several benchmark algorithms. In general, the proposed architecture framework and the exploration algorithm can assist commanders in making further decisions. INDEX TERMSCombat system-of-systems, architecture modeling, super-network model, greedy search, dynamic planning.

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“…Mission reliability has been a constant subject of extensive research over the past decades in the fields of manufacturing systems [11], power systems [12], and the military [13,14]. Andrews et al [15] proposed a fast mission reliability prediction method for phased-mission UAVs.…”

Section: Introductionmentioning

confidence: 99%

Mission reliability modeling and evaluation for reconfigurable unmanned weapon system-of-systems based on effective operation loop

Chen

Zhou

Zhang

et al. 2023

J. of Syst. Eng. Electron.

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The concept of unmanned weapon system-of-systems (UWSoS) involves a collection of various unmanned systems to achieve or accomplish a specific goal or mission. The mission reliability of UWSoS is represented by its ability to finish a required mission above the baselines of a given mission. However, issues with heterogeneity, cooperation between systems, and the emergence of UWSoS cannot be effectively solved by traditional system reliability methods. This study proposes an effective operation-loop-based mission reliability evaluation method for UWSoS by analyzing dynamic reconfiguration. First, we present a new connotation of an effective operation loop by considering the allocation of operational entities and physical resource constraints. Then, we propose an effective operationloop-based mission reliability model for a heterogeneous UWSoS according to the mission baseline. Moreover, a mission reliability evaluation algorithm is proposed under random external shocks and topology reconfiguration, revealing the evolution law of the effective operation loop and mission reliability. Finally, a typical 60-unmanned-aerial-vehicle-swarm is taken as an example to demonstrate the proposed models and methods. The mission reliability is achieved by considering external shocks, which can serve as a reference for evaluating and improving the effectiveness of UWSoS.

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An Approach for Weapon System-of-Systems Scheme Generation Based on a Supernetwork Granular Analysis

Cited by 19 publications

References 25 publications

An Optimal Searching Algorithm for the Equipment System-of-Systems Architecture Space With Uncertain Capabilities

An Optimal Searching Algorithm for the Equipment System-of-Systems Architecture Space With Uncertain Capabilities

An Optimal Approach for Combat System-of-Systems Architecture Search Under Uncertainty

Mission reliability modeling and evaluation for reconfigurable unmanned weapon system-of-systems based on effective operation loop

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