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智能PID拥塞控制算法
引用本文:陈金华,孙金生.智能PID拥塞控制算法[J].吉林大学学报(信息科学版),2004,22(4):373-377.
作者姓名:陈金华  孙金生
作者单位:南京理工大学,自动化系,江苏,南京,210094
摘    要:针对主动队列管理(AQM:Active Queue Management)几种算法存在响应时间较长并在时延较大时都不能使队长度收敛到期望值的问题,提出一种智能PID(Proportional Integral Differential)控制主动队列管理算法,给出了该算法的详细描述.仿真实验表明,该算法不仅在时延较小的情况下是稳定的、鲁棒的,且响应速度优于REM(Random Exponential Marking),PI(Proportional Integral)控制,PID控制等算法.同时,对于大时延的网络,该算法也是稳定、收敛的.

关 键 词:智能PID  拥塞控制  主动队列管理  智能  拥塞控制算法  congestion  control  algorithm  网络  大时延  Random  Exponential  Marking  响应速度  鲁棒  稳定  情况  仿真实验  描述  主动队列管理算法  Integral  Differential  问题  期望值  收敛
文章编号:1671-5896(2004)04-0373-05
修稿时间:2004年4月9日

Intelligent PID congestion control algorithm
CHEN Jin-hua,SUN Jin-sheng.Intelligent PID congestion control algorithm[J].Journal of Jilin University:Information Sci Ed,2004,22(4):373-377.
Authors:CHEN Jin-hua  SUN Jin-sheng
Abstract:On the problems of some AQM (Active Queue Management) algorithms having more long response time and being not able to stabilize the queue length near the expected value for the networks with large time-delay, a new intelligent PID (Proportional Integral Differential) is proposed as active queue management algorithm. The detailed statement of this algorithm is given. Simulation results show that the new algorithm is stable and robust when the time-delay is small, and the response speed of this algorithm is faster than that of some existing algorithms such as REM (Random Exponential Marking),PI(Proportional Integral), and PID controller. At the same time, for the networks with large time-delay, this algorithm is stable and convergent.
Keywords:intelligent proportional integral differential(PID)  congestion control  active queue management (AQM)
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