摘要
基于模糊自适应滑模控制提出了一种拥塞控制算法。该算法通过模糊调节滑模表面使队列跟踪性能得到改善,对于网络模型的不确定性、网络参数的时变性以及非TCP适应流所引起的网络抖动该算法具有很强的鲁棒性。仿真结果表明该方法可以使队列长度快速收敛到设定值,同时使队列震荡最小,结果也表明在网络条件变化的情况下,该算法优于模糊控制和变结构控制。
An congestion control scheme based on fuzzy adaptive sliding mode control is designed.It can improve the queue tracking behavior by fuzzy tuning the sliding surface,the proposes method have strong robust against network modeling uncertainties,network parameters time varying fluctuations and non-TCP sessions disturbances.Simulation results demonstrate that it can lead to the convergence of the queue length to the desired value quickly and maintain the oscillation small.The results also show that the scheme is very robust to disturbance under various network conditions and outperforms fuzzy control and variable structure control significantly.
出处
《计算机工程与应用》
CSCD
北大核心
2008年第15期85-87,102,共4页
Computer Engineering and Applications
基金
辽宁省教育厅项目资助(No.20060348)
