PI Stabilization for Congestion Control of AQM Routers with Tuning Parameter Optimization

In this paper, we consider the problem of stabilizing network using a new proportional- integral (PI) based congestion controller in active queue management (AQM) router; with appropriate model approximation in the first order delay systems, we seek a stability region of the controller by using the...

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Main Authors: S. Chebli, Ahmed El Akkary
Format: Article
Language:English
Published: Universidad Internacional de La Rioja (UNIR) 2016-09-01
Series:International Journal of Interactive Multimedia and Artificial Intelligence
Subjects:
Online Access:http://www.ijimai.org/journal/node/912
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author S. Chebli
Ahmed El Akkary
author_facet S. Chebli
Ahmed El Akkary
author_sort S. Chebli
collection DOAJ
description In this paper, we consider the problem of stabilizing network using a new proportional- integral (PI) based congestion controller in active queue management (AQM) router; with appropriate model approximation in the first order delay systems, we seek a stability region of the controller by using the Hermite- Biehler theorem, which isapplicable to quasipolynomials. A Genetic Algorithm technique is employed to derive optimal or near optimal PI controller parameters.
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spelling doaj.art-4f464c2a8f574f31975090ab077cb7832022-12-21T23:55:39ZengUniversidad Internacional de La Rioja (UNIR)International Journal of Interactive Multimedia and Artificial Intelligence1989-16601989-16602016-09-0141525510.9781/ijimai.2016.4111ijimai.2016.4111PI Stabilization for Congestion Control of AQM Routers with Tuning Parameter OptimizationS. ChebliAhmed El AkkaryIn this paper, we consider the problem of stabilizing network using a new proportional- integral (PI) based congestion controller in active queue management (AQM) router; with appropriate model approximation in the first order delay systems, we seek a stability region of the controller by using the Hermite- Biehler theorem, which isapplicable to quasipolynomials. A Genetic Algorithm technique is employed to derive optimal or near optimal PI controller parameters.http://www.ijimai.org/journal/node/912Congestion ControlControllerGenetic AlgorithmsManagemet SystemsPI
spellingShingle S. Chebli
Ahmed El Akkary
PI Stabilization for Congestion Control of AQM Routers with Tuning Parameter Optimization
International Journal of Interactive Multimedia and Artificial Intelligence
Congestion Control
Controller
Genetic Algorithms
Managemet Systems
PI
title PI Stabilization for Congestion Control of AQM Routers with Tuning Parameter Optimization
title_full PI Stabilization for Congestion Control of AQM Routers with Tuning Parameter Optimization
title_fullStr PI Stabilization for Congestion Control of AQM Routers with Tuning Parameter Optimization
title_full_unstemmed PI Stabilization for Congestion Control of AQM Routers with Tuning Parameter Optimization
title_short PI Stabilization for Congestion Control of AQM Routers with Tuning Parameter Optimization
title_sort pi stabilization for congestion control of aqm routers with tuning parameter optimization
topic Congestion Control
Controller
Genetic Algorithms
Managemet Systems
PI
url http://www.ijimai.org/journal/node/912
work_keys_str_mv AT schebli pistabilizationforcongestioncontrolofaqmrouterswithtuningparameteroptimization
AT ahmedelakkary pistabilizationforcongestioncontrolofaqmrouterswithtuningparameteroptimization