期刊文献+

基于最优刚性编队分布式生成算法 被引量:3

A Distributed Generation Algorithm Based on Optimally Rigid Formations
原文传递
导出
摘要 为了描述一类特殊的刚性图,给出最优刚性图的概念。在保持队形时,最优刚性图可以减少拓扑图的复杂性。为了最大可能地减少队形通信的复杂性,研究了最优刚性编队的生成理论。首先,提出了4个命题,用以论证基于分布式的最优刚性生成方算法的可行性;其次,基于这些命题,提出了一种多智能体系统的编队算法;最后,通过仿真来验证所提算法的有效性。 The notion of optimally rigid graph is defined in this paper to describe a special kind of rigid graphs. The optimally rigid graphs can be used to reduce the complexity of topology graphs in keeping the formation. In this paper, in order to minimize the communication complexity of formations, the authors study the generation theory of optimally rigid formations. Firstly, four important propositions are presented to demonstrate the feasibility of using decentralized method to generate optimally rigid graphs. Secondly, in view of these propositions, a formation algorithm for Multi-Agent System (MAS) is proposed. Lastly, some simulations are given to show the efficiency of the proposed algorithm.
出处 《装甲兵工程学院学报》 2012年第3期74-78,共5页 Journal of Academy of Armored Force Engineering
关键词 最优刚性图 刚性矩阵 多智能体系统 编队 optimally rigid graph rigidity matrix multi-agent system formation
  • 相关文献

参考文献12

  • 1Dasgupta P. A Multlagent Swarming System for Distributed Auto- matic Target Recognition Using Unmanned Aerial Vehicles [ J ]. IEEE Trans on Systems, Man and Cybernetics:Part A,2008,38 (3): 549-563.
  • 2Gurfil P, Kivelevltch E. Flock Properties Effect on Task Assign- ment and Formation Flying of Cooperating Unmanned Aerial Ve- hicles[ J]. Journal of Aerospace Engineering, 2007,221 ( 3 ) : 401 - 418.
  • 3Han K, Lee J, Kim Y. Unmanned Aerial Vehicle Swarm Control Using Potential Functions and Sliding Mode Control [ J ]. Journal of Aerospace Engineering, 2008,222 (6) : 721 - 730.
  • 4Tanner H G, Christodoulakis D K. Decentralized Cooperative Control of Heterogeneous Vehicle Groups [ J 1. Robotics and Au- tonomous Systems, 2007, 55 ( 11 ) :811 - 823.
  • 5Bui L D, Kim Y G. An Obstacle-avoidance Technique for Auton- omous Underwater Vehicles Based on BK-products of Fuzzy Rela- tion [ J ]. Fuzzy Sets and Systems, 2006,157 (4) : 560 - 577.
  • 6Olfati-Saber R. Flocking for Multi-agent Dynamic Systems: Algo- rithms and Theory[J]. IEEE Trans on Automat, 2006, 51(3) : 401 - 420.
  • 7Smith B, Egerstedt M, Howard A. Automatic Generation of Per- sistent Formations for Muhi-Agent Networks Under Range Con- straints [ J]. ACM Int Conf Proc Series, 2007, 318 (14) : 1 - 8.
  • 8Hendrickx J M, Fidan B, Yu C B, et al. Elementary Operations for the Reorganization of Minimally Persistent Formations [ C ] // Yamamoto Y. Proceedings of the 17th International Symposium on Mathematical Theory of Networks and Systems. Kyoto, Japan: JIPS, 2006 : 859 - 873.
  • 9Hendrickx J M, Fidan B, Yu C, et al. Formation Reorganization by Primitive Operations on Directed Graphs[J]. IEEE Trans On Automatic Control, 2008, 4 (53) :968 - 979.
  • 10罗小元,李绍宝,关新平.Automatic generation of min-weighted persistent formations[J].Chinese Physics B,2009,18(8):3104-3114. 被引量:10

二级参考文献23

  • 1Zhao J, Tao L, Yu H, Luo J H, Cao Z W and Li Y X 2007 Chin. Phys. 16 3571.
  • 2Tan F X, Guan X P and Liu D L 2008 Chin. Phys. B 17 3531.
  • 3Burns R, McLaughlin C A, Leitner J, Martin M, Res. Lab. and Kirtland Air Force Base, NM. 2000 In Proc. IEEE Aerospace Conf. 7 19.
  • 4Schaub H, Vadali S R, Junkins J L and Alfriend K T 2000 J. Astronaut. Sci. 48 69.
  • 5Buzogany L E, Pachter M and Azzo D J J 1993 In Proc. AIAA Conf. on Guidance, Navigation, and Control ADA259020 1349.
  • 6Wolfe J D, Chichka D F and Speyer J L 1996 In Proc. AIAA Conf. Guidance, Navigation, and Control AIAA Paper 96.
  • 7Curtin T B, Bellingham J, Catipovic G J and Webb D 1993 Oceanography 6 86.
  • 8Smith T R, Hassmann H and Leonard N E 2001 In Proc. 40th IEEE Conf. Decision and Control 5 4598.
  • 9Bender J G 1991 IEEE Trans. Veh. Technol. 40 82.
  • 10Swaroop D and Hedrick J K 1999 ASME J. Dyna. Syst., Measurement and Control 121 462.

共引文献9

同被引文献8

引证文献3

二级引证文献1

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部