A New PID Controller for AQM Based on Neural Network

摘要：

Active queue management (AQM) plays a significant role in network congestion. A new adaptive PID controller for AQM is presented to overcome the shortcomings of PID AQM such as parameters cannot be adjusted with time, cannot be adapted to the dynamic and nonlinear network. The new algorithm integrates PID control law and neural network, which not only has the merits of both but also overcomes the shortcomings of the general neural network. The results of simulation show that the new AQM algorithm is superior to a typical PID controller on the time delay, throughput and queue stability.

关键词： AQM neural network neuron PID

作者: Yan Qiao Hu Xiaojuan

作者单位: College of Computer and Software Shenzhen University Shenzhen, China College of Information Engineering Shenzhen University Shenzhen, China

会议类型: 国际会议

会议名称: 2010 IEEE International Conference on Intelligent Computing and Intelligent Systems(2010 IEEE 智能计算与智能系统国际会议 ICIS 2010)

会议地点: 厦门

会议语种:英文

页码: 804-808

在线出版日期: 2010-10-29（万方平台首次上网日期，不代表论文的发表时间）