Controller Tuning for Active Queue Management Using a Parameter Space Method
Murat Saglam, Sami Ezercan, Suat Gumussoy, Hitay Ozbay

TL;DR
This paper presents a method for tuning simple PID controllers for Active Queue Management using a parameter space approach that identifies stability regions based on delay-based linear models.
Contribution
It introduces a novel parameter space method for tuning PID controllers specifically for AQM, considering delay effects in the linear models.
Findings
Effective stability regions identified for PID tuning in AQM
Enhanced controller design for network traffic management
Applicable to delay-based linear models in practice
Abstract
In recent years, different mathematical models have been proposed for widely used internet control mechanisms. Simple low order controllers (such as PID, and Smith predictor based linear controllers that are easy to implement) are desired for network traffic management. In order to design such simple controllers for Active Queue Management (AQM), delay based linear models have been considered. In this paper we discuss tuning of the PID controllers by using a parameter space method, which computes stability regions of a class of quasi-polynomials in terms of free controller parameters.
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Taxonomy
TopicsNetwork Traffic and Congestion Control · Advanced Queuing Theory Analysis · Advanced Wireless Network Optimization
