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 :
بازگشت