大时滞网络自适应预测PI主动队列管理算法

针对网络中存在的大时滞和网络参数时变问题，提出一种自适应预测PI主动队列管理算法．将Smith预估器与达林算法相结合，既克服了大时滞带来的不利影响，也减少了控制器参数整定数量．利用网络参数与控制参数所具有的确定关系，通过在线估计网络参数来实时调节控制参数，使得控制器能够适应网络参数的变化，同时采用线性化方法分析了系统局部稳定性．仿真结果表明，所提出的算法是可行而有效的。

Adaptive Predictive PI Algorithm for Active Queue Management in Large Delay Network

An adaptive predictive proportional integral(APPI) algorithm for active queue management(AQM) is proposed to cope with the large delays and time-varying network parameters.Smith predictor and Dahlin algorithm are combined to alleviate the unfavorable influences of time-delay and reduce the number of the tuning parameters.The control parameters are automatically tuned according to on-line estimation of link capacity and traffic load,which makes APPI perform well for a wide-range of network conditions.The local stability of the system is analyzed using the linearization method. Simulation results show the effectiveness of the APPI algorithm.