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无线网络拥塞控制中流体流模型的Hopf分岔及其稳定性 被引量:3

Stability and Hopf Bifurcation of a Fluid-Flow Model for Congestion Control in Wireless Networks
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摘要 该文对一个用于无线网络拥塞控制算法设计的具有通信时延的流体流模型进行Hopf分岔分析,以通信时延作为分岔参数,证明此模型Hopf分岔的存在性,并应用中心流形和规范型理论推导出确定Hopf分岔方向和分岔周期解稳定性的计算公式,数值仿真验证了结论的有效性。 This paper focuses on the Hopf bifurcation analysis of a fluid-flow model with time-delay for the congestion control algorithm in the wireless networks. By choosing the communication delay as a bifurcation parameter,the model exhibits of Hopf bifurcation are proved. The formulas for determining the direction of the Hopf bifurcation and the stability of bifurcating periodic solutions are obtained by applying the center manifold theorem and the normal form theory. Finally,a numerical simulation is presented to verify the theoretical results.
作者 侯萍 王执铨
出处 《电子与信息学报》 EI CSCD 北大核心 2010年第4期983-987,共5页 Journal of Electronics & Information Technology
基金 国家自然科学基金(60574082)资助课题
关键词 无线网络 HOPF分岔 拥塞控制 时延系统 Wireless networks Hopf bifurcation Congestion control Time-delay systems
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参考文献9

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同被引文献31

  • 1吴志伟,袁德成,韩坤.基于混杂自动机的TCP网络拥塞控制模型[J].仪器仪表学报,2006,27(z3):2001-2003. 被引量:3
  • 2张东辉,王庆辉,魏立峰.Ad hoc无线网络中的拥塞控制研究[J].仪器仪表学报,2005,26(z1):486-487. 被引量:1
  • 3Liu F, Wang H O, Guan Z H. Stability analysis and control of bifurcation in a TCP fluid flow model of wireless networks [C] // Proceedings of the 10th World Congress on Intelligent Control and Automation. Beijing: IEEE, 2012.. 1026-1030.
  • 4Dong T, Liao X F, Huang T W. Dynamics of a con gestion control model in a wireless access network [J]. Nonlinear Analysis: Real World Applications, 2013, 14(1): 671 683.
  • 5Ding D W, Zhu J, Luo X S, et al. Controlling Hopf bifurcation in fluid flow model of internet congestion control system [J]. International Journal of Bifurca- tion and Chaos, 20091 19(4) : 1415-1424.
  • 6Li N, Yuan H Q, Sun H Y, etal. Adaptive control of bifurcation and chaos in a time-delayed system [J]. Chinese Phys, 2013, 22(3):030508.
  • 7Guo ST, FengG, LiaoXF, etal. Hopf bifurcation control in a congestion control model via dynamic de- layed feedback [J]. AIP Chaos, 2008, 18(4): 3104 3117.
  • 8Xiao M, Zheng W X. Bifurcation control of a conges tion control model via state feedback [J]. Internation- al Journal of Bifurcation and Chaos, 2013, 23 ( 6 ) : 1330018.
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