Title :
Active queue management algorithm based on T-S fuzzy control
Author :
Wang, Hongwei ; Yu, Chi ; Jing, Yuanwei
Author_Institution :
Northeastern Univ., Qinhuangdao, China
Abstract :
A novel T-S fuzzy control algorithm is presented for active queue management(AQM) in order to solve the problem of congestion control in TCP communication. This kind of control action has robust performance, which is suitable for time varying and complex network systems. For the particular TCP network mode, a T-S fuzzy model is done for the nonlinear TCP/IP network congestion control system. The performance of network congestion control system is improved by choosing appropriate fuzzy rules and membership functions, and the stability of the system is rigorously theoretic proved. The stability and robustness of the proposed control scheme are then validated for different network scenarios in MATLAB. Simulation results have confirmed that the proposed scheme outperforms traditional observer-based controller.
Keywords :
IP networks; data communication; fuzzy control; fuzzy set theory; nonlinear control systems; stability; telecommunication congestion control; transport protocols; Matlab; T-S fuzzy control; Takagi-Sugeno control; active queue management algorithm; communication congestion control; fuzzy rules; membership functions; nonlinear TCP/IP network congestion; system stability; Communication system control; Complex networks; Control systems; Fuzzy control; Fuzzy systems; Mathematical model; Robust control; Robust stability; TCPIP; Time varying systems; Active Queue Management (AQM); Fuzzy Control; Linear Matrix Inequality; Robustness;
Conference_Titel :
Control and Decision Conference (CCDC), 2010 Chinese
Conference_Location :
Xuzhou
Print_ISBN :
978-1-4244-5181-4
Electronic_ISBN :
978-1-4244-5182-1
DOI :
10.1109/CCDC.2010.5498421