Finite-time Congestion Control for a Class of TCP Network Systems

2020 ◽  
Author(s):  
Xulei Qi ◽  
Yuanwei Jing ◽  
Georgi M Dimirovski
Keyword(s):  
Congestion Control ◽  
Finite Time ◽  
Network Systems ◽  
Tcp Network

scholarly journals Minimax based congestion control for TCP network systems with UDP flows

2018 ◽  
Vol 210 ◽  
pp. 03005 ◽  
Author(s):  
Yuanwei Jing ◽  
Zanhua Li ◽  
Georgi Dimirovski
Keyword(s):  
Congestion Control ◽  
Control Algorithm ◽  
State Feedback ◽  
Asymptotically Stable ◽  
Network Systems ◽  
Backstepping Approach ◽  
Congestion Control Algorithm ◽  
Feedback Structure ◽  
Simulation Results ◽  
Tcp Network

The congestion control problem for TCP network systems with UDP flows is considered. A nonlinear TCP network model with strict-feedback structure is established. The unknown UDP flow is considered as the disturbance to the system, and the maximum UDP flow is calculated by using the minimax approach. And then, a congestion control algorithm is proposed by using backstepping approach. Further, a state-feedback congestion controller is presented to make the TCP networks asymptotically stable. The simulation results show the superiority and feasibility of the proposed method.

scholarly journals Adaptive Finite-Time Congestion Control for Uncertain TCP/AQM Network with Unknown Hysteresis

Complexity ◽  
2020 ◽  
Vol 2020 ◽  
pp. 1-9
Author(s):  
Weimin Zheng ◽  
Yanxin Li ◽  
Xiaowen Jing ◽  
Shangkun Liu
Keyword(s):  
Congestion Control ◽  
Finite Time ◽  
Neural Control ◽  
Closed Loop ◽  
Control Method ◽  
Transmission Control Protocol ◽  
External Disturbance ◽  
Closed Loop System ◽  
Transmission Control ◽  
Adaptive Neural Control

The issue of adaptive practical finite-time (FT) congestion control for the transmission control protocol/active queue management (TCP/AQM) network with unknown hysteresis and external disturbance is considered in this paper. A finite-time congestion controller is designed by the backstepping technique and the adaptive neural control method. This controller guarantees that the queue length tracks the desired queue in finite-time, and it is semiglobally practical finite-time stable (SGPFS) for all the signals of the closed-loop system. At last, the simulation results show that the control strategy is effective.

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

2019 ◽  
Vol 351 ◽  
pp. 26-32 ◽  
Author(s):  
Yang Liu ◽  
Yuanwei Jing ◽  
Xiangyong Chen
Keyword(s):  
Congestion Control ◽  
Finite Time
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