Adaptive Finite-Time Congestion Control for Uncertain TCPAQM Network with Unknown Hysteresis

Abstract EN

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.