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基于单神经元自适应PI控制器的主动队列管理算法 被引量：2

An Active Queue Management Algorithm Based on Single Neuron Adaptive PI Controller
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摘要 基于神经网络理论中的神经元模型与学习算法,设计了一种主动队列管理算法SNAPI(Single Neuron-based Adaptive PI controller).控制器根据系统误差在线调整PI控制器的控制参数,以适应动态变化的网络参数.运用Nyquist稳定判据给出了系统在平衡点附近的局部稳定条件.最后通过仿真检验了SNAPI,并比较了它与使用固定控制参数的PI算法的性能. Based on the neuronal model and learning algorithm of neural network theory, an active queue management （AQM） algorithm called SNAPI （Single Neuron-based Adaptive PI controller） is presented. SNAPI employs single neuron to adjust control parameters of the Proportional-Integral （PI） controller online according to the system error to adapt the dynamically changing network parameters. Using the Nyquist stability criterion, this paper gives the local stability conditions around the system equilibrium point. Finally, simulations are made to verify the SNAPI algorithm and to compare its performance with that of the fixed-parameter PI algorithm.
作者 张少博 吴介一 张飒兵
机构地区 东南大学CIMS中心
出处 《信息与控制》 CSCD 北大核心 2008年第5期565-570,575,共7页 Information and Control
关键词 拥塞控制 主动队列管理 PI控制器 单神经元 congestion control active queue management （AQM） PI controller single neuron
分类号 TP393 [自动化与计算机技术—计算机应用技术]
  • 相关文献

参考文献21

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二级参考文献39

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共引文献106

同被引文献30

  • 1王晓曦,王永吉,周津慧,王秀利.基于改进网络模型的大时滞网络拥塞控制算法[J].电子学报,2005,33(5):842-846. 被引量：3
  • 2陆锦军,王执铨.基于内模补偿的网络拥塞控制新算法:IC-AQM[J].南京理工大学学报,2006,30(2):162-166. 被引量：3
  • 3ATHURALIYA S, LOW S H, LI V H, et al. REM: Active queue management [J]. IEEE Network, 2001, 15(3): 48 -53.
  • 4HOLLOT C V, MISRA V, TOWSLEY D, et al. On designing im- proved controllers for AQM routers supporting TCP flows [ C]//Pro- ceedings of the IEEE INFOCOM. Piseataway, NJ: IEEE Press, 2001:1726 - 1734.
  • 5MISRA V, GONG W B, TOWSLEY D. Fluid-based analysis of a network of AQM routers supporting TCP flows with an application to RED [ EB/OL]. [ 2010 - 01 - 01 ]. http://eeweb, poly. edu/ e1933/papers/mgt, pdf.
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  • 8Quet P F, Ozbay H. On the design of AQM supporting TCP flows using robust control theory [ J ]. IEEE Transactions on Automatic Control, 2004, 49(6) : 1031 -1036.
  • 9Alvarez T, Salim A. How to reduce congestion on TCP/AQM networks with simple adaptive PID controllers[ C ]//UKACC International Confer- ence on Control. Piscataway, NJ, USA: IEEE, 2012: 30-35.
  • 10Jamali S, Hashemi S N, Moghadam A M. On the use of a full information feedback to stabilize RED [ J ]. Journal of Network and Computer Applications, 2013, 36 (2) : 858 - 869.

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信息与控制
2008年 第5期

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