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《Journal of South China University of Technology(Natural Science Edition)》 2006-09
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Robust AQM Congestion Control Algorithm Based on Gain Adaptive Smith Predictor

Xiang Shao-hua Xu Bu-gong Peng Da-zhou Wu Sai(School of Automation Science and Engineering,South China Univ.of Tech.,Guangzhou 510640,Guangdong,China)  
A robust AQM(Active Queue Management) congestion control algorithm(GAS-PI) is proposed on the basis of the gain adaptive Smith predictor and according to the Lyapunov asymptotic stability theorem.This algorithm is of simple structure,good robustness and excellent network control performance.Moreover,it overcomes the negative impact on the queue stability caused by the large delay.Simulated results indicate that,by the proposed GAS-PI algorithm,the overshoot of queue can be effectively decreased,and a higher responsive speed as well as a steadier queue can be obtained,that is,the buffer queue quickly converges to the equilibrium point when the network is of HTTP disturbance and great overload change,and the dynamic performance of large-delay networks remains in good condition.
【Fund】: 国家自然科学基金重点资助项目(60334010);; 国家自然科学基金资助项目(60474047);; 高等学校博士学科点专项基金资助项目(20030561013);; 广东省自然科学基金博士启动项目(04300046)
【CateGory Index】: TP393.07
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