DocumentCode :
2664020
Title :
Congestion control based on backstepping approach
Author :
Sai, Wu ; Feiqi, Deng
Author_Institution :
Sch. of Economic Manage., Guangdong Univ. of Technol., Guangzhou
fYear :
2008
fDate :
16-18 July 2008
Firstpage :
719
Lastpage :
723
Abstract :
The nonlinear transmission control protocol (TCP) dynamic model in the domain of Internet congestion control is considered in this paper. An observer is designed to estimate the unmeasured state. By applying the backstepping recursive technique and Lyapunov direct method, a kind of active queue management (AQM) algorithm is designed to asymptotically stabilize the closed-loop system through output feedback. Simulation results show that the system has desired steady state performance including less tuning time, lower packet loss rate, higher link utilization than the traditional random early detection (RED) or proportional integral (PI) algorithms, and robust quality under varying network environment.
Keywords :
Internet; Lyapunov methods; asymptotic stability; closed loop systems; feedback; nonlinear control systems; observers; recursive estimation; telecommunication congestion control; transport protocols; Internet congestion control; Lyapunov direct method; active queue management algorithm; asymptotic stability; backstepping recursive technique; closed-loop system; nonlinear transmission control protocol dynamic model; observer; output feedback; proportional integral algorithms; random early detection; state estimation; varying network environment; Algorithm design and analysis; Backstepping; Internet; Nonlinear dynamical systems; Observers; Output feedback; Performance loss; Protocols; State estimation; Steady-state; Active Queue Management; Backstepping approach; Congestion control; Lyapunov; Output feedback;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control Conference, 2008. CCC 2008. 27th Chinese
Conference_Location :
Kunming
Print_ISBN :
978-7-900719-70-6
Electronic_ISBN :
978-7-900719-70-6
Type :
conf
DOI :
10.1109/CHICC.2008.4605393
Filename :
4605393
Link To Document :
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