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
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;
Conference_Titel :
Control and Decision Conference (CCDC), 2015 27th Chinese
Conference_Location :
Qingdao
Print_ISBN :
978-1-4799-7016-2
DOI :
10.1109/CCDC.2015.7162230