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Structural robustness of combat networks of weapon system-of-systems based on the operation loop

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  • Jichao Li
  • Yuejin Tan
  • Kewei Yang
  • Xiaoke Zhang
  • Bingfeng Ge

Abstract

The structural robustness of the combat network of weapon system-of-systems (CNWSOS) has been widely used to characterise its operation ability and survivability in the integrated joint operations. In this paper, after introducing the concept of the operation loop, a directed CNWSOS network model is first put forward. Then, the directed natural connectivity, a new measure of the CNWSOS robustness that extends the concept of natural connectivity to the directed combat networks, is proposed to provide both a definite physical meaning and a simple mathematical formulation. Last, the feasibility and effectiveness of the proposed structural robustness measure are demonstrated using both numerical experiments and an empirical case study. The directed natural connectivity facilitates a more sensitive and precise quantitative analysis of the structural robustness, which in turn provides useful insights for designing a more robust CNWSOS, including improving the accuracy of intelligence acquisition, enhancing the communication capabilities of weapon systems, and strengthening the capability of precision strikes.

Suggested Citation

  • Jichao Li & Yuejin Tan & Kewei Yang & Xiaoke Zhang & Bingfeng Ge, 2017. "Structural robustness of combat networks of weapon system-of-systems based on the operation loop," International Journal of Systems Science, Taylor & Francis Journals, vol. 48(3), pages 659-674, February.
  • Handle: RePEc:taf:tsysxx:v:48:y:2017:i:3:p:659-674
    DOI: 10.1080/00207721.2016.1212429
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    References listed on IDEAS

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    1. Bellingeri, Michele & Cassi, Davide & Vincenzi, Simone, 2014. "Efficiency of attack strategies on complex model and real-world networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 414(C), pages 174-180.
    2. J. Wu & M. Barahona & Y.-J. Tan & H.-Z. Deng, 2011. "Robustness of regular ring lattices based on natural connectivity," International Journal of Systems Science, Taylor & Francis Journals, vol. 42(7), pages 1085-1092.
    3. Peng, Guan-sheng & Wu, Jun, 2016. "Optimal network topology for structural robustness based on natural connectivity," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 443(C), pages 212-220.
    4. Xiao-Zheng Jin & Guang-Hong Yang, 2011. "Distributed robust adaptive control for a class of dynamical complex networks against imperfect communications," International Journal of Systems Science, Taylor & Francis Journals, vol. 42(3), pages 457-468.
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    Cited by:

    1. Sun, Qin & Li, Hongxu & Wang, Yuzhi & Zhang, Yingchao, 2022. "Multi-swarm-based cooperative reconfiguration model for resilient unmanned weapon system-of-systems," Reliability Engineering and System Safety, Elsevier, vol. 222(C).
    2. Jichao Li & Bingfeng Ge & Jiang Jiang & Kewei Yang & Yingwu Chen, 2020. "High-end weapon equipment portfolio selection based on a heterogeneous network model," Journal of Global Optimization, Springer, vol. 78(4), pages 743-761, December.
    3. Yang, Shulan & Hou, Zhiwei & Chen, Hongbo, 2023. "Evaluation of vulnerability of MAV/UAV collaborative combat network based on complex network," Chaos, Solitons & Fractals, Elsevier, vol. 172(C).
    4. Zhong, Yuanfu & Li, Hongxu & Sun, Qin & Huang, Zhiwen & Zhang, Yingchao, 2024. "A kill chain optimization method for improving the resilience of unmanned combat system-of-systems," Chaos, Solitons & Fractals, Elsevier, vol. 181(C).
    5. Chen, Zhiwei & Hong, Dongpao & Cui, Weiwei & Xue, Weikang & Wang, Yao & Zhong, Jilong, 2023. "Resilience evaluation and optimal design for weapon system of systems with dynamic reconfiguration," Reliability Engineering and System Safety, Elsevier, vol. 237(C).

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