Finite-time congestion tracking control for TCP/AWM network systems employing event-triggered mechanism. Issue 14 (September 2022)

• Record Type: Journal Article
• Authors: Jing, Yuanwei; Xie, Haixiu; Chen, Jiqing; Dimirovski, Georgi M.
• Is Part Of: Journal of the Franklin Institute. Volume 359:Issue 14(2022)
• Page Start: 7233
• Page End: 7261
• Publication Date: 2022-09
• Subjects: Science -- Periodicals; Technology -- Periodicals; Patents -- United States -- Periodicals; 505
• DOI: 10.1016/j.jfranklin.2022.08.003
• Languages: English
• ISSNs: 0016-0032

Abstract

Abstract: This paper addresses the tracking control problem of TCP/AWM network systems in presence of nonresponsive data flows of category user datagram protocol (UDP) flows. Firstly, a modified network system model is established by a certain suitable variable transformation, and then a fuzzy logic system (FLS) emulator is used to approximate the nonlinear terms in the network dynamics representation system. Secondly, inspired by the idea of the prescribed performance control (PPC), a novel finite-time performance function (NFTPF) is proposed. In turn, an adaptive finite-time congestion control strategy is designed by compatible usage as appropriate of a barrier Lyapunov function (BLF), the backstepping control synthesis, and an event-triggered mechanism. The proposed control strategy can not only make the tracking error to satisfy the pre-assigned transient and steady-state performance, but also ensure that all the closed-loop signals remain semi-globally uniformly ultimately bounded (SGUUB). In addition, the designed congestion control strategy eliminates potential occurrence of Zeno behavior. A set of simulation results are presented to clarify the feasibility and effectiveness of proposed methodological approach and the designed congestion controller.