Title :
Fuzzy logic-based AQM controller design research
Author :
Niu Qin-zhou ; Hong Feng ; Yan Fei
Author_Institution :
Dept. of Inf. Sci. & Technol., Guilin Univ. of Technol., Guilin, China
Abstract :
Internet congestion control can be respected as a nonlinear feedback system with uncertainties and communication delay. According to this characteristic, a self-configuring Active Queue Management (AQM) controller is proposed utilizing the predominance of fuzzy theory in dealing with the uncertain event and its stability is analyzed using Lyapunov Direct method, and the performance is analyzed using NS-2 simulation system. Compared with other traditional method, the algorithm is more reasonable, stable and robust. This electronic document is a “live” template. The various components of your paper [title, text, heads, etc.] are already defined on the style sheet, as illustrated by the portions given in this document.
Keywords :
Internet; Lyapunov methods; feedback; fuzzy logic; fuzzy set theory; nonlinear systems; queueing theory; telecommunication congestion control; uncertain systems; Internet congestion control; Lyapunov direct method; NS-2 simulation system; communication delay; electronic document; fuzzy logic-based AQM controller design research; fuzzy theory; live template; nonlinear feedback system; self-configuring active queue management controller; stability; uncertain event; uncertainty delay; Adaptation models; Educational institutions; Equations; Fuzzy control; Mathematical model; Robustness; Stability analysis; AQM controller; congestion control; fuzzy logic control;
Conference_Titel :
Power Engineering and Automation Conference (PEAM), 2011 IEEE
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-9691-4
DOI :
10.1109/PEAM.2011.6135111