DESIGN OF A ROBUST ACTIVE QUEUE MANAGEMENT ALTORITHM BASED ON ADAPTIVE NEURON PID

摘要：

The paper designs a new AQM algorithm called ANPID,which applies the theory of adaptive linear neuron to AQM controller in congestion control. ANPID can adjust the queue length to the desired value, revise its weights online by LMS learning rule, and tune the coefficients of PID controller. The weighted factors are regulated continuously according to the system errors, as well as eliminate the sensitivity to the parameter. The result of simulation shows that the presented ANPID controller can effectively avoid network congestion, stabilize queue length to the desire value quickly, and have good performances in respect to robustness to variation of system parameters.

关键词： Communication technology Active queue management Neuron network Adaptive control PID controller

作者: PING-PING XIAO YAN-TAO TIAN

作者单位: School of Communication Engineering, Jilin University, Changchun 130022, China

会议类型: 国际会议

会议名称: 2006 International Conference on Machine Learning and Cybernetics(IEEE第五届机器学习与控制论坛)

会议地点: 大连

会议语种:英文

页码: 308-313

在线出版日期: 2006-08-13（万方平台首次上网日期，不代表论文的发表时间）