PID type neural network control for active queue management

Xue Mei Ren*, Hong Huang, Liang Ai, Jing Na

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)

Abstract

To study the congestion control of intermediate nodes in the changing network, PID type neural network control scheme for AQM (active queue management) is proposed. Back-propagation algorithm is used to adjust the weights of neural networks and stability of closed-loop system is proved according to the Lyapunov theory. Based on NS-2 simulation platform, the result showed that the proposed control scheme can adapt to the changing network situation, the system steady-state error and transient performance of the proposed scheme is superior to those of PID.

Original languageEnglish
Pages (from-to)892-896
Number of pages5
JournalBeijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology
Volume26
Issue number10
Publication statusPublished - Oct 2006

Keywords

  • Active queue management
  • Back-propagation algorithm
  • Congestion control

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Ren, X. M., Huang, H., Ai, L., & Na, J. (2006). PID type neural network control for active queue management. Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology, 26(10), 892-896.