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
Link To Document