时滞TCP网络滑模预测主动队列管理算法

刘胜; 荆奇

doi:10.7652/xjtuxb201408008

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时滞TCP网络滑模预测主动队列管理算法

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- 时滞TCP网络滑模预测主动队列管理算法
- A Sliding Mode Prediction Algorithm for Active Queue Management of TCP Networks with Time Delay
- 西安交通大学学报 2014年48卷第8期页码：42-46
- 作者机构：
  
  哈尔滨工程大学自动化学院,哈尔滨,150001
- 作者简介：
- 基金信息：
  
  : 2014-01-14。作者简介: 刘胜(1957—),男,教授,博士生导师。基金项目: 国家自然科学基金资助项目(51079033)
- DOI：10.7652/xjtuxb201408008
  中图分类号： TP393
- 网络首发：2014-08-10，
  
  纸质出版：2014
- 稿件说明：
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刘胜, 荆奇. 时滞TCP网络滑模预测主动队列管理算法[J]. 西安交通大学学报, 2014,48(8):42-46.

A Sliding Mode Prediction Algorithm for Active Queue Management of TCP Networks with Time Delay[J]. 2014, 48(8): 42-46.
刘胜, 荆奇. 时滞TCP网络滑模预测主动队列管理算法[J]. 西安交通大学学报, 2014,48(8):42-46. DOI： 10.7652/xjtuxb201408008.

A Sliding Mode Prediction Algorithm for Active Queue Management of TCP Networks with Time Delay[J]. 2014, 48(8): 42-46. DOI： 10.7652/xjtuxb201408008.

摘要

针对Internet网络系统中存在的网络拥塞问题

提出了一种离散滑模预测主动队列管理(AQM)控制算法。基于离散化TCP动态拥塞窗口模型

设计了具有时滞补偿的滑模预测算法(SMPC); 利用当前及过去时刻的系统信息预测网络未来动态

对滑动模态进行实时校正

确保队列快速平稳的到达期望值; 基于Lyapunov方法证明了闭环时滞系统渐近稳定的充分条件。以单瓶颈网络系统为对象的仿真结果表明:所设计的滑模预测AQM算法具有很强的稳定性和鲁棒性

控制性能优于PI、RED和SMC等算法; 克服了时变长时延等网络不确定因素的影响

有效避免了网络拥塞的发生。

Abstract

An active queue management(AQM)algorithm based on discrete sliding mode predictive model control is proposed for the network congestion problem presented in internet network system. A sliding mode predictive controller(SMPC)with delay compensation is designed based on the discrete model of dynamic TCP congestion. The current and foretime sliding mode information are used to predict future network dynamics

to correct the sliding mode and to assure the queue convergence to expectations stably and quickly. The asymptotically stability of the time-delay system is proved through using the Lyapunov method. Simulation results in a single bottleneck network system show that the performance of the proposed algorithm is better than the performance of some other algorithms such as PI

RED and SMC in terms of strong stability and robustness. The SMPC algorithm gets over the effects of network uncertainties such as long time-varying time delay

and avoids network congestion effectively.

关键词

Keywords

references

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高海燕, 蔡远利. 高超声速飞行器的滑模预测控制方法[J]. 西安交通大学学报, 2014, 48(1): 67-72.

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陈炳卿, 牛玉刚. 网络拥塞控制的滑模控制策略[J]. 计算机工程与应用, 2009, 45(26): 94-97.

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