New PI stabilization of first-order congestion control of active queue management routers

Chebli, Samira; Elakkary, Ahmed; Sefiani, Nacer; Elalami, Noureddine

doi:10.1109/eitech.2015.7162961

Cited by 6 publications

(9 citation statements)

References 8 publications

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“…The number of TCP flows is taken to be N = 60, the link capacity C = 3750 packets/sec, round trip time R = 400s, the desired queue size = 150 packets, and the buffer size = 200 packets [9].…”

Section: Simulation Resultsmentioning

confidence: 99%

“…In this paper, we extend our previous work [9] by implementing Genetic Algorithm (GA) in determining PI Controller parameters to compensate the delay in the system. The Genetic Algorithm has been considered as a useful optimization techniques employing the principles of natural genetic systems [10] to search a global solution of the optimization problem.…”

mentioning

confidence: 95%

“…To determine the stabilizing PI parameters for a first order delayed system, analgorithm has been proposed deduced from the theorems above [9].…”

Section: Where the Solution Of The Equationmentioning

confidence: 99%

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

Settouti¹,

Bechar²,

Chikh³

2016

IJIMAI

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-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 HermiteBiehler theorem, which isapplicable to quasipolynomials. A Genetic Algorithm technique is employed to derive optimal or near optimal PI controller parameters.

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Section: Simulation Resultsmentioning

confidence: 99%

mentioning

confidence: 95%

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

Settouti¹,

Bechar²,

Chikh³

2016

IJIMAI

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“…The equation linearization around the operating point gives a two-order model with a delay that is given by the following transfer function (Chebli et al, 2015;Hollot et al, 2001;Misra et al, 1999):…”

Section: Proofmentioning

confidence: 99%

“…This solution consists in adopting an extension of the Hermite-Biehler theorem applied to quasi-polynomials. The principle of this theorem is used to stabilize the TCP model by means of a proportional-integral-derivative (PID) controller (Chebli, Elakkary, & Sefiani, 2017a, 2017bChebli, Elakkary, Sefiani, & Elalami, 2015).…”

Section: Introductionmentioning

confidence: 99%

Ant Colony Optimization based on Pareto optimality: application to a congested router controlled by PID regulation

Chebli

Elakkary

Sefiani

2018

Systems Science & Control Engineering

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The subject of this research work is to stabilize the network TCP (transmission control protocol) as well as the queue of the router congestion by designing an Active Queue Management scheme able to ensure this role. The problem is dealt with under the theory of the command by using a tuned PID (proportional-integral-derivative) controller based on an extension of the Hermite-Biehler theorem applied to quasi-polynomials. This tuning approach uses Hurwitz stability concept, that is to say, a sufficient and necessary condition must be given so the roots of the quasi-polynomial lie in the left half plane. Since this stabilization method gives rise to a set of values for parameters 'P', 'I' and 'D', it turns out relevant to optimize the results achieved within this stability region. To achieve this purpose, a multi-criterion Ant Colony Optimization based on Pareto optimality is used, given the conflictual character of the closed-loop system performance parameters. The set of optimal solutions of the problem is given by determining the Pareto front of objective functions. The effectiveness of the proposed control scheme is evaluated via a series of numerical simulations in MATLAB and SIMULINK. The results are compared with those of the genetic algorithm and Ziegler-Nichols methods.

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Optimizing PID TCP/AQM using nelder-mead simplex approach

Fajri

Ramli

2017

Proceedings of the 3rd International Conference on Communication and Information Processing

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New PI stabilization of first-order congestion control of active queue management routers

Cited by 6 publications

References 8 publications

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

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

Ant Colony Optimization based on Pareto optimality: application to a congested router controlled by PID regulation

Optimizing PID TCP/AQM using nelder-mead simplex approach

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