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Multi-swarm-based cooperative reconfiguration model for resilient unmanned weapon system-of-systems

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  • Sun, Qin
  • Li, Hongxu
  • Wang, Yuzhi
  • Zhang, Yingchao

Abstract

Unmanned weapon system-of-systems (UWSoS) is a large-scale system composed of many types of unmanned weapon systems. With the soaring number of interconnected systems in UWSoS, UWSoS’s complexity and interference uncertainty increase dramatically, resulting in preventive and protective strategies that are not all-inclusive. It is essential to research resilient UWSoS, which can recover the performance through the reconfiguration technique in the post-disruptive. We studied the reconfiguration model for UWSoS from the perspective of resilience enhancement. A multi-swarm-based cooperative reconfiguration model was proposed to maximize the resilience of UWSoS. First, an extended mission-oriented resilience metric is presented to effectively describe the resilience of the UWSoS, considering the variable mission baseline and restoration time. Subsequently, a cooperative factor-based resilience optimization model is established using the available existing entities in one swarm to replace the disrupted entities in another swarm. Finally, the feasibility, effectiveness, and superiority of the proposed model are illustrated through extensive experiments. This work could provide valuable insights for operational guidance and decision support for the design of resilient UWSoSs.

Suggested Citation

  • 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).
    • Handle: RePEc:eee:reensy:v:222:y:2022:i:c:s0951832022000941
    DOI: 10.1016/j.ress.2022.108426
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    Cited by:

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    5. Zhou, Xinxin & Huang, Yun & Bai, Guanghan & Xu, Bei & Tao, Junyong, 2024. "The resilience evaluation of unmanned autonomous swarm with informed agents under partial failure," Reliability Engineering and System Safety, Elsevier, vol. 244(C).
    6. 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).
    7. 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).
    8. Li, Hongxu & Sun, Qin & Zhong, Yuanfu & Huang, Zhiwen & Zhang, Yingchao, 2023. "A soft resource optimization method for improving the resilience of UAV swarms under continuous attack," Reliability Engineering and System Safety, Elsevier, vol. 237(C).
    9. Sun, Qin & Li, Hongxu & Zhong, Yuanfu & Ren, Kezhou & Zhang, Yingchao, 2024. "Deep reinforcement learning-based resilience enhancement strategy of unmanned weapon system-of-systems under inevitable interferences," Reliability Engineering and System Safety, Elsevier, vol. 242(C).

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