logo

SCIENCE CHINA Information Sciences, Volume 62, Issue 1: 010205(2019) https://doi.org/10.1007/s11432-018-9537-1

Cooperative trajectory optimization for unmanned aerial vehicles in a combat environment

More info
  • ReceivedJun 24, 2018
  • AcceptedJul 4, 2018
  • PublishedDec 13, 2018

Abstract

There is no abstract available for this article.


Acknowledgment

This work was supported by National Natural Science Foundation of China (NSFC) (Grant No. 61503185).


References

[1] Wang Y, Wang D B, Wang J H. A convex optimization based method for multiple UAV autonomous formation reconfiguration (in Chinese). SST, 2017, 47: 249-258 CrossRef Google Scholar

[2] Zhang Y, Yang J Z, Chen S F, et al. Decentralized cooperative trajectory planning for multiple UAVs in dynamic and uncertain environments. In: Proceedings of the 7th International Conference on Intelligent Computing and Information Systems, 2016. 377--382. Google Scholar

[3] Li G, Chou W. Path planning for mobile robot using self-adaptive learning particle swarm optimization. Sci China Inf Sci, 2018, 61: 052204 CrossRef Google Scholar

[4] Belkhouche F. Reactive Path Planning in a Dynamic Environment. IEEE Trans Robot, 2009, 25: 902-911 CrossRef Google Scholar

[5] Pham H. Reliability management and computing. Ann Oper Res, 2016, 244: 1-2 CrossRef Google Scholar

[6] Hosseinabadi R, Kardgar M, Shojafar M, et al. GELS-GA: hybrid metaheuristic algorithm for solving multiple travelling salesman problem. In: Proceedings of International Conference on Intelligent Systems Design and Applications (ISDA), 2014. 76--81. Google Scholar

[7] LaValle S M. Planning Algorithms: Dubins Curves. Cambridge: Cambridge University Press, 2006. Google Scholar

[8] Duan H B, Qiu X H, Fan Y M. Unmanned aerial vehicle close formation cooperative control based on predatory escaping pigeon-inspired optimization (in Chinese). Sci Sin Tech, 2015, 45: 559-572 CrossRef Google Scholar

[9] Gal O, Doytsher Y. Fast and accurate visibility computation in a 3D urban environment. In: Proceedings of the 4th International Conference on Advanced Geographic Information Systems, Applications, and Services, 2012. 105--110. Google Scholar

  • Figure 1

    (Color online) (a) The resulting path obtained through the proposed algorithm; (b) comparison of the convergence for different methods; (c) comparison of the performance of different methods.

Copyright 2020 Science China Press Co., Ltd. 《中国科学》杂志社有限责任公司 版权所有

京ICP备18024590号-1       京公网安备11010102003388号