DocumentCode :
3213840
Title :
The minimax control based on T-S model applied to AQM
Author :
Cao Yu ; Jing Yuanwei ; Wang Jingyang ; Wang Xuan
Author_Institution :
Shenyang Inst. of Autom., Shenyang, China
fYear :
2015
fDate :
23-25 May 2015
Firstpage :
1906
Lastpage :
1909
Abstract :
Aiming at the nonlinear model of TCP network, we carried out a T-S fuzzy model with uncertain parameters which can describe the AQM more approximate; In addition, we achieved the sufficient condition for the existing of minimax controller with considering the situation that the system got the max impact when being disturbed by LMI and Liapunov stability theory. The simulation showed the control algorithm we proposed had better stability and robustness as well as dynamic performance that the message queue length being converged to the expected value more quickly.
Keywords :
fuzzy control; linear matrix inequalities; minimax techniques; queueing theory; robust control; telecommunication congestion control; telecommunication network management; transport protocols; uncertain systems; AQM; LMI; Liapunov stability theory; T-S fuzzy model; TCP network; dynamic performance; message queue length; minimax controller; nonlinear model; robustness; uncertain parameters; Analytical models; Convergence; Fuzzy control; Queueing analysis; Robustness; Stability analysis; AQM; LMI; T-S fuzzy model; TCP network; minimax control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control and Decision Conference (CCDC), 2015 27th Chinese
Conference_Location :
Qingdao
Print_ISBN :
978-1-4799-7016-2
Type :
conf
DOI :
10.1109/CCDC.2015.7162230
Filename :
7162230
Link To Document :
بازگشت