Active queue management of delay network based on constrained model predictive control

摘要：

MPAQM algorithm is able to adapt to the varying network environment and improve the robustness by moving horizon optimization, and handling network constraints in the process of obtaining the drop probability. Based on MPAQM scheme proposed previously, the predictive model is improved to reduce the order of optimization problem in this paper. Considering the causality of time-delay system, the predicted output is de.ned, and the future queue length in data buffer, which is the basis of optimizing drop probability, is predicted. Furthermore, the optimal control objective and the system constraints are derived correspondingly. The simulation results show that MPAQM algorithm outperforms RED and PI algorithms in terms of stability, disturbance rejection, and robustness.

关键词： active queue management time delay constrained model predictive control

作者: Ping Wang Hong Chen Xiaoping Yang Xiaohui Lu

作者单位: Department of Control Science and Engineering, Jilin University, Changchun 130025, China Department of Information Engineering,Jilin University, Changchun 130025, China

会议类型: 国际会议

会议名称: 2011 China Control and Decision Conference(2011中国控制与决策会议 CCDC)

会议地点: 四川绵阳

会议语种:英文

页码: 814-818

在线出版日期: 2011-05-23（万方平台首次上网日期，不代表论文的发表时间）