EDP Sciences logo
Submit your paper
Search
Menu
All issues Volume 43 / No 2 (April 2025) JNWPU, 43 2 (2025) 368-380 References
Open Access
Issue
JNWPU
Volume 43, Number 2, April 2025
Page(s) 368 - 380
DOI https://doi.org/10.1051/jnwpu/20254320368
Published online 04 June 2025
  1. United States Department of Defense. Unmanned systems integrated roadmap FY2017-2042[EB/OL]. (2018-08-30)[2023-12-18]. [Article] [Google Scholar]
  2. LI Hao, SUN Hemin, LI Hongquan, et al. A review of UAV cluster swarm operations and their early warning detection response strategies[J]. Scuderia Missile, 2018(11): 46–51 (in Chinese) [Google Scholar]
  3. YANG Zhongying, WANG Yulong, LAI Chuanlong. A study of the current status and trends in the development of UAV swarm warfare[J]. Scuderia Missile, 2019(5): 34–38 (in Chinese) [Google Scholar]
  4. YU Yifan, WANG Lei. A study of the current status and trends in the development of UAV swarm warfare[J]. Scuderia Missile, 2019(2): 34–42 (in Chinese) [Google Scholar]
  5. WANG Xiangke, LIU Zhihong, CONG Yirui, et al. Miniature fixed-wing UAV swarms: review and outlook[J]. Acta Aeronautica et Astronautica Sinica, 2020, 41(4): 15–40 (in Chinese) [Google Scholar]
  6. JIA Yongnan, TIAN Siying, LI Qing. Recent development of unmanned aerial vehicle swarms[J]. Acta Aeronautica et Astronautica Sinica, 2020, 41(suppl. 1): 1–11 (in Chinese) [Google Scholar]
  7. ZHU Wenjin, WANG Luohaoji, CAI Zhiqiang, et al. Resilience analysis for reconfigurable network with cascading failures[J]. Journal of Northwestern Polytechnical University, 2021, 39(4): 839–846. [Article] (in Chinese) [Google Scholar]
  8. WAQAS A, KANG D, CHA Y. Deep learning-based obstacle-avoiding autonomous UAVs with fiducial marker-based localization for structural health monitoring[J]. Structural Health Monitoring, 2024, 23(2): 971–990 [Google Scholar]
  9. XU Zhao, HU Jinwen, MA Yunhong, et al. A study on path planning algorithms of UAV collision avoidance[J]. Journal of Northwestern Polytechnical University, 2019, 37(1): 100–106. [Article] (in Chinese) [CrossRef] [EDP Sciences] [Google Scholar]
  10. ZHANG Qiqian, XU Weiwei, ZHANG Honghai, et al. The obstacle-avoidance path planning for UAV based on IOCAD[J]. Journal of Northwestern Polytechnical University, 2020, 38(2): 238–245. [Article] (in Chinese) [Google Scholar]
  11. ZHANG Qianyu, LI Qingqing, SUN Ruijie. Construction of operational-effectiveness-test indicators for aircraft carrier anti-ship equipment system-of-system[J]. Journal of Ordnance Equipment Engineering, 2019, 40(12): 1–4 (in Chinese) [Google Scholar]
  12. GUO Xinwen, ZHANG Zhengjuan. The study of organization model of operational range test for long range ballistic aircraft[J]. Journal of Northwestern Polytechnical University, 2019, 37(1): 44–49 (in Chinese) [Google Scholar]
  13. HE Qiang, WANG Ying. SoS and systems in engineering practice[J]. Science & Technology Review, 2018(20): 32–37 (in Chinese) [Google Scholar]
  14. ANDREWS J D, POOLE J, CHEN W H. Fast mission reliability prediction for unmanned aerial vehicles[J]. Reliability Engineering & System Safety, 2013, 120: 3–9 [Google Scholar]
  15. LU Nan, WANG Xiaodong, TANG Zheng, et al. Modeling method of unmanned aerial vehicle swarm behavior based on spatiotemporal hybrid Petri net[J]. Journal of Northwestern Polytechnical University, 2022, 40(4): 812–818. [Article] (in Chinese) [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  16. CHU Xinyang, LIAO Xuejun, XU Qinxian, et al. Improved ADC method for operational effectiveness evaluation in operational test of unmanned reconnaissance aircraft[J]. Journal of Ordnance Equipment Engineering, 2020, 41(8): 89–96 (in Chinese) [Google Scholar]
  17. HE Yuan, GAN Xusheng, TU Congliang, et al. UAV reconnaissance effectiveness evaluation based on rough set and neural network[J]. Firepower and Command and Control, 2021, 46(3): 20–25 (in Chinese) [Google Scholar]
  18. WANG Xiaohong, LI Long, WANG Shengchun, et al. Assessment of reconnaissance UAV viability based on GAHP[J]. Military-Industrial Automation, 2022, 41(2): 23–27 (in Chinese) [Google Scholar]
  19. CHEN Siyi. Design and simulation realization of hitting process of reconnaissance and combat integrated drones on time-sensitive targets[D]. Chengdu: University of Electronic Science and Technology of China, 2019 (in Chinese) [Google Scholar]
  20. REMENYTE-PRESCOTT R, ANDREWS J D, CHUNG P W H. An efficient phased mission reliability analysis for autonomous vehicles[J]. Reliability Engineering & System Safety, 2010, 95(3): 226–235 [Google Scholar]
  21. STEURER M, MOROZOV A, JANSCHEK K, et al. Model-based dependability assessment of phased-mission unmanned aerial vehicles[J]. IFAC-PapersOnLine, 2020, 53(2): 8915–8922 [Google Scholar]
  22. GONCALVES P, SOBRAL J, FERREIRA L A. Unmanned aerial vehicle safety assessment modelling through Petri nets[J]. Reliability Engineering & System Safety, 2017, 167: 383–393 [Google Scholar]
  23. HU Jie, CHEN Hualiang, LIU Liang, et al. Research on operational effectiveness evaluation of UAV swarm[J]. Fire Control & Command Control, 2022, 47(4): 164–168 (in Chinese) [Google Scholar]
  24. CHEN Liang. UAV operational effectiveness evaluation model in system combat[J]. Naval Electronics Engineering, 2016, 36(7): 124–127 (in Chinese) [Google Scholar]
  25. WANG Tan, YANG Sen, QI Xiaohui, et al. Effectiveness evaluation of MAV/UAV cooperative operations based on hopfield neural network[J]. Electro-Optics and Control, 2021, 28(10): 80–84 (in Chinese) [Google Scholar]
  26. ZHAO Ruirui, YU Haiyue, YOU Yaqian, et al. Review on current status and technology method of unmanned swarm test evaluation[J]. Systems Engineering and Electronics, 2024, 46(2): 570–585 (in Chinese) [Google Scholar]
  27. HU Xiaofeng, ZHANG Bin. SoS complexity and SoS engineering[J]. Journal of Chinese Academy of Electronic Science, 2011, 6(5): 446–450 (in Chinese) [Google Scholar]
  28. WANG Xiaoyue, WANG Xun, WANG Yongzhen, et al. Evaluation method for combat effectiveness of task-based simulated UAV swarm system[J]. Acta Aeronautica et Astronautica Sinica, 2022, 43(suppl. 1): 726937 (in Chinese) [Google Scholar]
  29. CHENG Congcong. Mission-oriented UAV cluster toughness assessment research[D]. Changsha: National University of Defense Technology, 2020 (in Chinese) [Google Scholar]
  30. XING L, JOHNSON B W. Reliability theory and practice for unmanned aerial vehicles[J]. IEEE Internet of Things Journal, 2023, 10(4): 3548–3566 [Google Scholar]
  31. FENG Q, LIU M, DUI H, et al. Importance measure-based phased mission reliability and UAV number optimization for swarm[J]. Reliability Engineering & System Safety, 2022, 223: 108478 [Google Scholar]
  32. YIN J, CUI L, SUN Y, et al. Reliability modelling for linear and circular k-out-of-n: F systems with shared components[J]. Reliability Engineering & System Safety, 2022, 219: 108172 [Google Scholar]
  33. LI Bo. Study on resilience evaluation for the mission-oriented UAV swarm[D]. Changsha: National University of Defense Technology, 2018 (in Chinese) [Google Scholar]
  34. PRESCOTT D R, ANDREWS J D, DOWNES C G. Multiplatform phased mission reliability modelling for mission planning[J]. Journal of Risk and Reliability, 2009, 223(1): 27–39 [Google Scholar]
  35. YANG C, YANG J, DONG P, et al. Reliability model of multiplatform phased mission system based on CPN[C]//2010 IEEE International Conference on Industrial Engineering and Engineering Management, 2010 [Google Scholar]
  36. YANG Lina, CAO Zeyang, LI Yongxiang. Research on the operational structure and concept of unmanned aerial swarm[J]. Modern Defense Technology, 2020, 48(4): 44–51 (in Chinese) [Google Scholar]
  37. JI Yuefeng. Modern communications technology[M]. Beijing: Beijing University of Posts and Telecommunications Press, 2020 (in Chinese) [Google Scholar]
  38. QU Gaomin. Ground attack UAV operational effectiveness assessment and software development[D]. Nanchang: Nanchang Aviation University, 2015 (in Chinese) [Google Scholar]
  39. ZHANG Xuemei. Operational effectiveness evaluation of ground attack UCAV[D]. Xi'an: Northwestern Polytechnical University, 2007 (in Chinese) [Google Scholar]
  40. 翼达蔚蓝 影响无人机飞行的因素(无人机飞行六大气象环境) [EB/OL]. (2023-03-03)[2023-12-18]. [Article] [Google Scholar]
  41. 舟山海事 能见度不良时, 切莫"雾"入歧途! (2023-03-01)[2023-12-18]. [Article] [Google Scholar]
  42. Standardization Administration of China General Administration of Quality Supervision, Inspection and Quarantine of the People's Republic of China. Meteorological standards[S]. GB/T 28591-2012, 2012 [Google Scholar]
  43. YUE Yuan, DONG Yanfei, XU Guanhua, et al. Task oriented for cooperation of manned/unmanned fighters in air-to-ground attacking probability model[J]. Firepower and Command and Control, 2015, 40(2): 53–57 (in Chinese) [Google Scholar]
  44. YUE Yuan. The research of UCAV combat simulation modeling[D]. Nanchang: Nanchang Aviation University, 2015 (in Chinese) [Google Scholar]
  45. Nico Phymat 【超参数寻优】量子粒子群算法(QPSO)超参数寻优的python实现 [Article] [Google Scholar]
  46. Ai工匠 多目标优化问题的算法及其求解 (2018-09-06)[2023-12-28]. [Article] [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.