Minimax Congestion Control for a Class of TCP Network Systems

被引：0
作者：
Jing Y.-W. [1 ]
Li Z.-H. [1 ,2 ]
Liu T. [3 ]
机构：
[1] School of Information Science & Engineering, Northeastern University, Shenyang
[2] School of Science, Shenyang Ligong University, Shenyang
[3] Light Industry College, Liaoning University, Shenyang
来源：
Dongbei Daxue Xuebao/Journal of Northeastern University | 2019年 / 40卷 / 08期
关键词：
Backstepping; Disturbance; Minimax algorithm; Network congestion control; UDP flow;
D O I：
10.12068/j.issn.1005-3026.2019.08.001
中图分类号：
学科分类号：
摘要：
The congestion control for TCP network systems with UDP(user datagram protocol)flows is studied. Firstly, a nonlinear TCP network model with a strict-feedback structure is established. Afterwards, a novel congestion control algorithm is proposed by using backstepping approach and minimax scheme, and a sufficient condition is provided. Furthermore, a state-feedback congestion controller is constructed by considering the maximum UDP flows to make the TCP networks stable. Finally, four different cases are simulated. Especially in the presence of maximum interference, the four different control methods are compared. The simulation results show the feasibility and superiority of the proposed method. © 2019, Editorial Department of Journal of Northeastern University. All right reserved.
引用
收藏
页码：1065 / 1069
页数：4
相关论文
共 17 条
  • [1] Kelly F., Mathematical Modelling of the Internet, pp. 105-116, (2001)
  • [2] Zheng F., Nelson J., An H<sub>∞</sub> approach to the controller design of AQM routers supporting TCP flows, Automatica, 45, 3, pp. 757-763, (2009)
  • [3] Wang H.-W., Yu C., Jing Y.-W., Network congestion control algorithm based on T-S fuzzy observer, Journal of Northeastern University(Natural Science), 31, 4, pp. 461-464, (2010)
  • [4] Kahe G., Jahangir A.H., Ebrahimi B., AQM controller design for TCP networks based on a new control strategy, Telecommunication Systems, 57, 4, pp. 295-311, (2014)
  • [5] Chen J., Hu C., Ji Z., Self-tuning random early detection algorithm to improve performance of network transmission, Mathematical Problems in Engineering, 8, pp. 430-441, (2010)
  • [6] Ali H.I., Khalid K.S., Swarm intelligence based robust active queue management design for congestion control in TCP network, Transactions on Electrical and Electronic Engineering, 11, 3, pp. 308-324, (2016)
  • [7] Ye C.-Y., Jing Y.-W., Nonlinear adaptive sliding mode control for TCP networks, Journal of Northeastern University (Natural Science), 33, 11, pp. 1521-1524, (2012)
  • [8] Abolfazli E., Shah-Mansouri V., Dynamic adjustment of queue levels in TCP VEGAS-based networks, Electronics Letters, 52, 5, pp. 361-363, (2016)
  • [9] Abolfazli E., Shah-Mansouri V., Robust congestion control for TCP/AQM using integral backstepping control, Proceedings of IEEE 26th Annual International Symposium on Personal, Indoor and Mobile Radio Communications(PIMRC): Mobile and Wireless Networks, pp. 1840-1844, (2015)
  • [10] Liu Y., Liu X.P., Jing Y.W., Et al., Adaptive backstepping H<sub>∞</sub> tracking control with prescribed performance for Internet congestion, ISA Transactions, 72, pp. 92-99, (2018)
12