Nonlinear Model Predictive Congestion Control for Networks

被引：15

作者：

Han, Cunwu ^{[1
]}

Li, Mengqi ^{[1
]}

Jing, Yuanwei ^{[2
]}

Liu, Lei ^{[1
]}

Pang, Zhonghua ^{[1
]}

Sun, Dehui ^{[1
]}

机构：

[1] North China Univ Technol, Key Lab Beijing Fieldbus Technol & Automat, Beijing 100144, Peoples R China

[2] Northeastern Univ, Coll Informat Sci & Engn, Shenyang 110004, Liaoning, Peoples R China

来源：

IFAC PAPERSONLINE | 2017年 / 50卷 / 01期

基金：

中国国家自然科学基金; 北京市自然科学基金;

关键词：

Congestion control; model predictive control; nonlinear disturbance; uncertainty; time-varying delay; input constraint; ACTIVE QUEUE MANAGEMENT; SUPPORTING TCP FLOWS; AQM ROUTERS; COMMUNICATION-NETWORKS; DESIGN; STABILITY; INTERNET; SYSTEMS;

D O I：

10.1016/j.ifacol.2017.08.066

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This 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. (C) 2017, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.

引用

页码：552 / 557

页数：6

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