期刊文献+

基于时间约束的作战决策同步策略研究 被引量:4

Research on strategies of operation decision-making synchronization based on time restriction
下载PDF
导出
摘要 为了量化作战体系的决策同步性能,提出了基于时间视角的作战决策时滞耦合同步模型,在此基础上,提出基于时间约束的作战决策同步策略,以提升作战体系的决策同步性能。仿真案例表明,该模型解决了以往基于沟通的作战决策同步模型的沟通策略不符合作战实际以及沟通后决策水平不一致的缺点,并且所提出的决策同步策略,能保证作战体系在有限时间内的整体决策水平基本一致。通过对比分析相关研究方法可知,该模型及决策同步策略更加符合实际网络化体系的作战决策过程,为后续进一步作战行动同步以及体系结构优化研究奠定基础。 In order to quantify the capability of decision-making synchronization in operation systems, from time viewpoint, the time lag coupling model of operation decision-making synchronization is proposed. Based on the model, synchronization strategies are given for improving the capability of decision-making synchronization in operation systems. The stimulated case shows that the shortcomings of the previous operation decision-making synchronization through communication, which include the communication strategies do not fill with factual operating progress and the opinion of the operation systems can not reach unification after communication, can be overcome with the proposed model. And the synchronization strategies can ensure that the total decision level of operation systems keeps identical in the limited time. Through comparing with relative research approaches, the superiority of the proposed approach shows that the model and strategies of operation decision-making synchronization are more accordant with the operation decision-making progress of network systems in operating, and can be propitious to further research in operation actions synchronization and optimization of systems architecture.
出处 《系统工程与电子技术》 EI CSCD 北大核心 2013年第8期1669-1675,共7页 Systems Engineering and Electronics
关键词 作战体系 作战决策 同步策略 作战沟通 时间约束 operation systems operation decision-making synchronization strategy operation communication time restriction
分类号 E917 [军事]
  • 相关文献

参考文献15

  • 1Albert D, Garstka J. Network centric warfare : developing and leveraging information superiority[M]. 2nd ed. Washington: The Command and Control Research Program Publication Se-ties, 2002.
  • 2Moffat J. Complexity theory and network centric warfare [M]. Washington : The Command and Control Research Program Pub- lication Series, 2003.
  • 3Butler J R. Network centric warfare: the mechanism for change[R]. Quantico: Marine Corps University, 2003.
  • 4Garstka J, Albert D. Network centric operations conceptual f rame- work[M]. 2nd ed. Vienna: Evidence Based Research, 2007.
  • 5Mica R E, William M J. Situation awareness, Information domi- nance & Information warfare[R]. Texas: Air Force Armstrong Laboratory, 1997.
  • 6Albert D. Information superiority & network centric warfare[R]. Washington: IWS the Information Warfare Site, 2004.
  • 7Ilachinski A. Artificial war: multiagent-based simulation of combat[M]. Washington: World Scientific Publishing Corpora- tion, 2004.
  • 8Jeffrey R C. An information age combat model[C]//Proc, of the 9th International Command and Control Research and Tech- nology Symposium, 2004 : 1 - 27.
  • 9Alves S G, Oliveira N M, Martins M L. Electoral surreysJ influ- ence on the voting processes: a cellular automata model[J]. PhysicaA, 2002, 32(36): 601-614.
  • 10Broseta B. Adaptive learning and equilibrium selection in exper- imental coordination games: an ARCH ( 1 ) approach [J]. Games and Economic Behavior, 2000, 35(32), 25- 50.

二级参考文献13

  • 1陈勇,胡爱群,胡啸.通信网中节点重要性的评价方法[J].通信学报,2004,25(8):129-134. 被引量:89
  • 2Corlcy H W, Sha D Y. Most vital links and nodes in weighted networks [J]. Oper Res Letters,1982(1):157-160.
  • 3Wu Jun, Tan Yuejin. Finding the most vital node by node contraction in communication networks[ C ]//Communications, Circuits and Systerms, Proceedings of IEEE International Conference. 2005,2 : 1282 - 1286.
  • 4Albert R, Jeong H, Barabasi A L. Error and attack tolerance of complex networks[ J]. Nature,2000,406:378 - 382.
  • 5[1]Watts D J, Strogatz S H. Collective Dynamics of 'Small-World'Networks[J]. Nature, 1998(393): 440-442.
  • 6[2]Alves S G, et.al. Electoral Surveys' Influence on the Voting Processes: A cellular Automata Model[J]. Physica A, 2002(316): 601-614.
  • 7[4]Kalai E, Lehrer E. Weak and Strong Merging of Opinions[J]. Journal of Mathematical Economics, 1994(23): 73-86.
  • 8[5]Miller R I. The Role of Absolute Continuity in "Merging of Opinions" and "Rational Learning"[J]. Games and Economic Behavior, 1999(29): 170-190.
  • 9[6]Bruno B. Adaptive Learning and Equilibrium Selection in Experimental Coordination Games: An ARCH (1) Approach[J]. Games and Economic Behavior, 2000(32): 25-50.
  • 10[8]Robertson D. A Agent-Based Models of a Banking Network as an Example of a Turbulent Environment: The Deliberate vs. Emergent Strategy Debate Revisited[J]. A Journal of Complexity in Organizations and Management, 2003, 5(2): 56-71.

共引文献56

同被引文献44

引证文献4

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