Adaptive neural practically finite-time congestion control for TCP/AQM network-Reference-Cited by-同舟云学术

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Adaptive neural practically finite-time congestion control for TCP/AQM network

Published:2019-07 Issue: Volume:351 Page:26-32
ISSN:0925-2312
Container-title:Neurocomputing
language:en
Short-container-title:Neurocomputing

Author:

Liu Yang^ORCID,Jing Yuanwei,Chen Xiangyong^ORCID

Funder

China Scholarship Council

National Natural Science Funds of China

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference42 articles.

1. Random early detection gateways for congestion avoidance;Floyd;IEEE/ACM Trans. Netw.,1993

2. SRED: stabilized RED;Ott,1999

3. A self-configuring RED gateway;Feng,1999

4. Dynamics of random early detection;Lin,1997

5. Fluid-based analysis of a network of AQM routers supporting TCP flows with an application to RED;Misra,2000

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1. Command filtered backstepping control of multiple transmission control protocol/active queue management networks with user datagram protocol flows;Asian Journal of Control;2024-06-05

2. CONGESTION TRACKING CONTROL FOR WIRELESS TCP/AQM NETWORK BASED ON ADAPTIVE DYNAMIC SURFACE SCHEME;INT J INNOV COMPUT I;2024

3. Achieving Prescribed-Time Stabilization in Nonlinear TCP/AQM Systems With Input Saturation;IEEE Transactions on Network Science and Engineering;2024-01

4. A novel adaptive fuzzy prescribed performance congestion control for network systems with predefined settling time;Neural Computing and Applications;2023-10-20

5. Adaptive tracking control for nonlinear systems with uncertain control gains and its application to a TCP/AQM network;Scientific Reports;2023-09-05

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