A novel AQM algorithm based on feedforward model predictive control-Reference-Cited by-同舟云学术

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A novel AQM algorithm based on feedforward model predictive control

Published:2018-06-13 Issue:12 Volume:31 Page:e3711
ISSN:1074-5351
Container-title:International Journal of Communication Systems
language:en
Short-container-title:Int J Commun Syst

Author:

Wang Ping¹²^ORCID,Zhu ChaoJie²,Yang XiaoPing³

Affiliation:

1. State Key Laboratory of Automotive Simulation and Control; Jilin University; Changchun 130025 China

2. Department of Control Science and Engineering; Jilin University; Campus NanLing Changchun 130025 China

3. Department of Electronic Engineering; Jilin University; Campus NanHu Changchun 130025 China

Funder

Natural Science Foundation of Jilin Province

National Natural Science Foundation of China

Publisher

Wiley

Subject

Electrical and Electronic Engineering,Computer Networks and Communications

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1002/dac.3711/fullpdf

Reference27 articles.

1. Active queue management: a survey;Adams;IEEE Commun Surv Tutorials,2012

2. Congestion control for high-speed wired network: a systematic literature review;Kushwaha;J Netw Comput Appl,2014

3. Branden B Clark D Crowcroft J Recommendations on queue management and congestion avoidance in the Internet, RFC2309 1994

4. Random early detection gateways for congestion avoidance;Floyd;IEEE/ACM Trans Networking,1997

5. FQL-RED: an adaptive scalable schema for active queue management;Masoumzadeh;Int J Netw Manag,2011

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1. Optimal congestion management in network routers subject to constraints, disturbances, and noise using the model predictive control approach;IET Cyber-Physical Systems: Theory & Applications;2023-10-12

2. On the validity of numerical simulations for control-theoretic AQM schemes in computer networks;Mathematics and Computers in Simulation;2022-03

3. Super twisting sliding mode network congestion control based on disturbance observer;Neural Computing and Applications;2022-02-07

4. A Self-Tuning Congestion Tracking Control for TCP/AQM Network for Single and Multiple Bottleneck Topology;IEEE Access;2021

5. Active Queue Management Supporting TCP Flows Using Disturbance Observer and Smith Predictor;IEEE Access;2020

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