Path Decision-Making for Penetration of UAVs in Threat-Networked Environment

ZHANG Huiming; LU Yi; ZHU Jie

doi:10.3969/j.issn.1671-637x.2018.04.011

Journals >Electronics Optics & Control >Volume 25 >Issue 4 >Page 50 > Article

Electronics Optics & Control
Vol. 25, Issue 4, 50 (2018)

Path Decision-Making for Penetration of UAVs in Threat-Networked Environment

ZHANG Huiming, LU Yi, and ZHU Jie

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[in Chinese]

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DOI: 10.3969/j.issn.1671-637x.2018.04.011 Cite this Article

ZHANG Huiming, LU Yi, ZHU Jie. Path Decision-Making for Penetration of UAVs in Threat-Networked Environment[J]. Electronics Optics & Control, 2018, 25(4): 50 Copy Citation Text

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References

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[4] LUGO-CARDENAS, FLORES G, SALAZAR S, et al. Dubins path generation for a fixed wing UAV［C］//International Conference on Unmanned Aircraft Systems(ICUAS)，Piscataway, NJ: IEEE Press, 2014: 339-346.

[5] YAO P, WANG H L, SU Z K. UAV feasible path planning based on disturbed fluid and trajectory propagation［J］. Chinese Journal of Aeronautics, 2015, 28(4): 1163-1177.

[12] BARUA S, GAO X D, PASMAN H, et al. Bayesian network based dynamic operational risk assessment［J］. Journal of Loss Prevention in the Process Industries, 2016, 41: 399-410.

[13] SONG Y B, VAN DER SCHAAR M. Dynamic network formation with incomplete information［J］. Economic Theory, 2015, 59: 301-331.

[14] KUMAR S, TRILATHI B K. Modelling of threat evaluation for dynamic targets using Bayesian network approach［J］. Procedia Technology, 2016, 24: 1268-1275.

ZHANG Huiming, LU Yi, ZHU Jie. Path Decision-Making for Penetration of UAVs in Threat-Networked Environment[J]. Electronics Optics & Control, 2018, 25(4): 50

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