Adaptive Event-Triggered Control for Multiple TCP/AQM Network Systems

In this study, the congestion control problem for multiple Transmission Control Protocol/ Active Queue Management (TCP/AQM) networks with user datagram protocol (UDP) flows is investigated. Firstly, a radial basis function network (RBF) is used to deal with uncertain nonlinear functions in the system controller design. Secondly, a novel event triggering mechanism is proposed to reduces the number of triggers and saves network resources, which is more general and includes both static and dynamic event triggering mechanisms as its special cases. Then, an adaptive finite time control strategy is designed based on Barrier Lyapunov function, backstepping control, and graph theory for multiple TCP/AQM network system. The proposed control method guarantees that the tracking error of the corresponding closed loop system is bounded. The output queue length has better tracking characteristics, and all signals are bounded in finite time. Finally, the effectiveness and superiority of the proposed method is verified by simulation studies.