摘要
基于模糊逻辑 ,利用自适应拥塞控制机制来预测高速网络 (如Internet中 )的拥塞问题 .把路由器的缓冲系统看作一个非线性离散动态系统 ,利用基于模糊逻辑的控制器来预测源端发送速率的确切值以防止拥塞的发生 .通过对参数向量的调节来估计无法预测的和具有统计波动性的网络通信量 ,并利用Lyapunov分析方法来验证闭环系统的稳定性 .最后 ,以一个仿真例子说明了所提出方法的有效性 .
This paper proposes a fuzzy logic based adaptive congestion control method to prevent congestion in high speed network such as Internet. The buffer at the router is modeled as a nonlinear discrete dynamic system, and a fuzzy logic system based predictive controller is designed to predict the explicit values of the transmission rates of the sources so as to avoid congestions. Parameter vector tuning methods are provided for the fuzzy logic system weights to estimate the unpredictable and statistically fluctuating network traffic. A Lyapunov based analysis method is given to demonstrate the stability of the closed loop system. Simulation results show that the proposed method is effective.
出处
《信息与控制》
CSCD
北大核心
2004年第4期389-393,共5页
Information and Control
基金
河北省自然科学基金资助项目 ( 60 2 62 3 )
