DocumentCode
3096944
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
Volume
3
fYear
2011
fDate
8-9 Sept. 2011
Firstpage
357
Lastpage
360
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Power Engineering and Automation Conference (PEAM), 2011 IEEE
Conference_Location
Wuhan
Print_ISBN
978-1-4244-9691-4
Type
conf
DOI
10.1109/PEAM.2011.6135111
Filename
6135111
Link To Document