【作者】 孙金生； 李彬；

【Author】 Jinsheng Sun,Bin Li School of Automation,Nanjing University of Science and Technology,Nanjing,210094

【机构】 南京理工大学自动化学院；

【摘要】 针对网络拥塞控制系统的非线性,利用T-S(Takagi-Sugeno)模糊模型对非线性系统具有很好逼近的特点来建立网络拥塞控制系统的模型,并基于该模型采用状态反馈控制设计了一种新的主动队列管理(Active Queue Management,AQM)算法。给出了该算法的详细设计方法、稳定性分析以及参数设定方法。仿真结果表明,该算法收敛性速度快,稳定性好,对网络负载变化具有鲁棒性。与ARED、PI、REM等AQM算法相比,该算法具有更快的收敛速度,更小的稳态队列长度波动以及更好的鲁棒性。更多还原

【Abstract】 Considering the nonlinear characteristic of network congestion control system,a network congestion control system model is constructed using T-S fuzzy model,which can approach nonlinear system very well.A new active queue management algorithm is designed using state feedback control based on this model.The design method of proposed AQM algorithm is described in detail.The stability analysis and parameters selection are given.Simulation results show that the proposed algorithm has fast convergence speed,better stability and robustness to network loads varying.The compare with PI,PID,REM shows that the proposed algorithm has fast response speed,smaller steady state queue length variation and better robustness.更多还原