Abstract
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.
Highlights
The communication network based on TCP has been rapidly developed and widely used
Some scholars have proposed a solution called AQM [6], which is one of the most widely studied congestion solutions at present. It can drop or mark some packets before the router generates a full queue state, so that the TCP source can timely sense the network congestion state and take corresponding measures. e first algorithm is named as random early detection (RED) [7], but RED and its improved algorithms [8, 9]
(2) An adaptive FT congestion controller is constructed by combining the backstepping technique and the radial basis function neural networks (RBFNNs) in this paper. is controller guarantees that the queue length tracks the desired queue in FT, and all the signals of the closed-loop system are semiglobally practical finite-time stable (SGPFS)
Summary
The communication network based on TCP has been rapidly developed and widely used. In [15], considering the limited input of the TCP network system, an AQM algorithm is presented on the strength of the sliding-mode control method, which makes the system obtain better asymptotic stability. E authors in [33, 34] proposed some FT control schemes for the nonlinear systems via the Lyapunov stability theory In practice, these FT control strategies cannot satisfy the actual control system with unknown nonlinearity. A criterion of SGPFS is set up for the first time by the fuzzy logic system (FLS), and a novel adaptive fuzzy control strategy based on it is presented To sum up, this manuscript researches FT congestion control for the TCP/AQM network with unknown hysteresis and external disturbance.
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
