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