Event-triggered network congestion control of TCP/AWM systems

被引：8

作者：

Bai, Yun ^{[1
]}

Jing, Yuanwei ^{[1
]}

机构：

[1] Northeastern Univ, Coll Informat Sci & Engn, Shenyang 110819, Liaoning, Peoples R China

来源：

NEURAL COMPUTING & APPLICATIONS | 2021年 / 33卷 / 22期

关键词：

TCP; AWM network system; Congestion control; Event-triggered; RBF network; NONLINEAR-SYSTEMS; WINDOW MANAGEMENT; SCHEME; RED;

D O I：

10.1007/s00521-021-06209-x

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

For the nonlinear TCP/AWM network congestion control system with external disturbances, under the framework of backstepping control method, an adaptive network congestion control strategy based on event-triggered mechanism is proposed. This strategy reduces the waste of network resources by introducing an event-triggered mechanism and uses RBF neural network to deal with external disturbances. The Lyapunov theory is used to prove that all signals in the closed-loop system are bounded. Finally, the proposed method is verified by simulation and is compared with PID, which further verifies the effectiveness of the proposed control method.

引用

页码：15877 / 15886

页数：10

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