• DocumentCode
    2523697
  • Title

    State feedback control AQM algorithm based on T-S fuzzy model

  • Author

    Sun, Jinsheng ; Li, Bin

  • Author_Institution
    Sch. of Autom., Nanjing Univ. of Sci. & Technol., Nanjing, China
  • fYear
    2011
  • fDate
    23-25 May 2011
  • Firstpage
    3663
  • Lastpage
    3667
  • Abstract
    Considering the nonlinear characteristic of network congestion control system, a network congestion control system model is constructed using T-S fuzzy model, which can approach nonlinear system very well. A new active queue management algorithm is designed using state feedback control based on this model. The design method of proposed AQM algorithm is described in detail. The stability analysis and parameters selection are given. Simulation results show that the proposed algorithm has fast convergence speed, better stability and robustness to network loads varying. The compare with PI, PID, REM shows that the proposed algorithm has fast response speed, smaller steady state queue length variation and better robustness.
  • Keywords
    nonlinear control systems; queueing theory; stability; state feedback; telecommunication congestion control; PI; PID; REM; T-S fuzzy model; active queue management algorithm; network congestion control system; network load varying; nonlinear system; stability analysis; state feedback control AQM algorithm; Algorithm design and analysis; Bismuth; Load modeling; Robustness; Stability analysis; State feedback; Active Queue Management; Congestion Control; State Feedback Control; T-S Fuzzy Model;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Decision Conference (CCDC), 2011 Chinese
  • Conference_Location
    Mianyang
  • Print_ISBN
    978-1-4244-8737-0
  • Type

    conf

  • DOI
    10.1109/CCDC.2011.5968859
  • Filename
    5968859