文章基本信息

标题：Nonlinear Model Predictive Congestion Control for Networks
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作者：Cunwu Han ; Mengqi Li ; Yuanwei Jing 等
期刊名称：IFAC PapersOnLine
印刷版ISSN：2405-8963
出版年度：2017
卷号：50
期号：1
页码：552-557
DOI：10.1016/j.ifacol.2017.08.066
语种：English
出版社：Elsevier
摘要：AbstractThis paper addresses congestion control for networks. The main focus is the modeling and compensation of nonlinear disturbance in the network, which is seldom considered in the literature. A new congestion control method is presented to compensate for the effects of nonlinear disturbance, uncertainty, time-varying delay, and input constraint. A state feedback congestion controller is designed via model predictive control approach. The stability of the closed-loop system is analyzed by using Lyapunov-Krasovskii functional. The effectiveness and feasibility of the proposed controller are verified by simulation results.
关键词：KeywordsCongestion controlmodel predictive controlnonlinear disturbanceuncertaintytime-varying delayinput constraint