Congestion tracking control for uncertain TCP/AQM network based on integral backstepping

被引:34
作者
Liu, Yang [1 ,2 ]
Liu, Xiaoping [2 ]
Jing, Yuanwei [1 ]
Zhang, Ziye [3 ]
Chen, Xiangyong [4 ]
机构
[1] Northeastern Univ, Coll Informat Sci & Engn, Shenyang 110819, Liaoning, Peoples R China
[2] Lakehead Univ, Dept Elect Engn, Thunder Bay, ON P7B 5E1, Canada
[3] Shandong Univ Sci & Technol, Coll Math & Syst Sci, Qingdao 266590, Shandong, Peoples R China
[4] Linyi Univ, Sch Automat & Elect Engn, Linyi 276000, Shandong, Peoples R China
基金
加拿大自然科学与工程研究理事会;
关键词
TCP/AQM network; H-infinity; Tracking control; Integral backstepping; Uncertainty; ACTIVE QUEUE MANAGEMENT; ADAPTIVE ROBUST-CONTROL; NONLINEAR-SYSTEMS; INDUCTION-MOTORS; FUZZY CONTROL; PERFORMANCE; RED;
D O I
10.1016/j.isatra.2018.12.021
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
An H-infinity congestion tracking control problem for nonlinear transmission control protocol/active queue management (TCP/AQM) network is proposed in this paper. Inspired by the existing network models, a modified TCP/AQM network model with external disturbance and modelling uncertainty is first introduced. And then, a novel function for the desired queue length is defined for the first time, which can simulate the changes in the queue length during a day. Next, a novel AQM scheme is presented to control network congestion by combining H-infinity theory and integral backstepping technique. The proposed method guarantees that the better tracking performance of the queue is achieved, and all the signals are asymptotically stable in the closed-loop system in probability. Finally, the effectiveness of the presented algorithm is tested by simulation results. (C) 2019 ISA. Published by Elsevier Ltd. All rights reserved.
引用
收藏
页码:131 / 138
页数:8
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