A New Control Tracking Approach for the Congestion Problem of a TCP System Based on Nonlinear Sliding Mode Control

In this paper, we propose two control approaches based on sliding mode control (SMC) to address the congestion problem in transmission control protocol (TCP) systems. First, a nonlinear sliding variable is introduced using a K1 function, which ensures robustness and finite-time convergence. Based on this sliding variable, a suitable switching controller is designed. Additionally, a continuous version of the controller is developed using the arctangent function to reduce chattering. Two simulation scenarios are presented to validate the effectiveness of the proposed control schemes in terms of congestion control and tracking performance.

Authors

Institutions

Publication Details

Journal
Processes
Published
2025-10-25
DOI
https://doi.org/10.3390/pr13113427
Primary Topic
Network Traffic and Congestion Control
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A New Control Tracking Approach for the Congestion Problem of a TCP System Based on Nonlinear Sliding Mode Control

Mostafa Bouzi, Chaimae El Mortajine
Processes
Network Traffic and Congestion Control
article

A New Control Tracking Approach for the Congestion Problem of a TCP System Based on Nonlinear Sliding Mode Control

Mostafa Bouzi, Chaimae El Mortajine
article en

Abstract

In this paper, we propose two control approaches based on sliding mode control (SMC) to address the congestion problem in transmission control protocol (TCP) systems. First, a nonlinear sliding variable is introduced using a K1 function, which ensures robustness and finite-time convergence. Based on this sliding variable, a suitable switching controller is designed. Additionally, a continuous version of the controller is developed using the arctangent function to reduce chattering. Two simulation scenarios are presented to validate the effectiveness of the proposed control schemes in terms of congestion control and tracking performance.

ProcessesVol. 13(11)
Université Hassan 1er (MA)
Openalex Percentile: Top 63%
Network Traffic and Congestion Control
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.