Sliding Mode Congestion Controller for Data Transmission Networks with Unknown and Variable Packet Loss Rates

Abstract

Abstract:In this paper, the problem of data flow control in multi-source connection oriented communication networks is considered. Each source in the considered networks is characterized by its own maximum transmission rate. Furthermore, data packets sent by the sources are transferred through lossy links and some of them can be lost before arriving at a common bottleneck node. The amount of data lost during the transmission is not known, but upper bounded for each source. If at some time the bottleneck link cannot transfer all arriving data, then the excess data is stored in a buffer with limited capacity. In order to eliminate data losses caused by the buffer overflow and to ensure full utilization of the available bandwidth, in this paper a new non-switching type reaching law for discrete time sliding mode control systems is proposed and applied to design a congestion controller for the networks.

An Integral Sliding Mode-Based Robust Consensus Control Protocol Design for Electro-Mechanical Systems

“…Owing to this definition, the error dynamics along the dynamics described by (1) and 2, appears as follows…”

“…The control algorithms, for consensus and the synchronization, need to be robust because, in practice, these systems operate under the action of disturbances. In the existing literature, a number of approaches, based on sliding mode theory [20], are developed for the robustness performance of uncertain nonlinear systems [1,7]. Note that sliding-mode-based techniques were used for the consensus and synchronization control of multi-agent systems [10,12,23].…”

Discrete-time Integral Sliding Mode Control with Anti-windup

“…Since the increasing use of computers and digital signal processors (DSPs) in control implementation, discrete-time sliding mode control (DSMC) has known a growing interest from the automation community (Bartoszewicz & Latosiński, 2016;Milosavljevic, 1985;Sarpturk, Istefanopulos & Kaynak, 1987). However, due to the finite sampling rate, extending the concept of continuous-time sliding mode control to discrete-time affects the robustness properties of the conventional sliding mode with respect to parametric uncertainties, modelling errors, and external disturbances (Bandyopadhyay, Deepak & Kim, 2009;Utkin, 1977;Young, Utkin & Ozguner, 1996).…”