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

Settouti, Nesma; Bechar, Mohammed El Amine; Chikh, Mohammed Amine

doi:10.9781/ijimai.2016.4110

Cited by 17 publications

(9 citation statements)

References 17 publications

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“…12 By the dead time the presentation and steadiness of TDS are controlled. 13 So it is further hard to control this kind of process on the grounds that the time delay all the time remains alive in the measurement or control loop. 14 A couple of novel control technologies like predictive control, 15 the neural type of a synthetic neutral delay in a control loop to improve the control presentation.…”

Section: Introductionmentioning

confidence: 99%

“…On the other hand the delay dependent stabilizing controller is troubled with the delay size and for the most part gives the upper delay bound . By the dead time the presentation and steadiness of TDS are controlled . So it is further hard to control this kind of process on the grounds that the time delay all the time remains alive in the measurement or control loop .…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

New opposition cuttlefish optimizer based two‐step approach for optimal design of fractional order proportional integral derivative controller for time delay systems

Sumathi¹,

Umasankar²

2019

Int J Numerical Modelling

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In this article, an optimal design of the fractional order proportional integral derivative (FOPID) controller for time delay system is proposed. The proposed optimal design is the combined performance of both the cuttlefish optimizer (CFO) and Opposition-based learning (OBL) scheme called CFOBL scheme. The proposed CFOBL uses the concept of opposition based population initialization and opposition based position updating to improve its searching behavior, computational speed and convergence profile in the basic CFO. In FOPID controller, apart from the three tuning parameters (G P , G I , and G D ) there are two additional tuning parameters that are λ and μ. Here, CFOBL is used to tune the three controller parameters and also to find the optimal values of λ and μ. The uniqueness of the proposed technique is to reduce the FOPID controller's fault in the higher order time delay scheme by the aid of the controller's increase limits. The objective of the proposed technique is chosen by considering the set point parameters and the accomplished parameters from the time delay system. The proposed technique is used to avoid high-order delays and reliability constraints such as small overruns, time resolution and fixed condition defects. This technique is performed on the MATLAB/ Simulink platform and the results are compared with different existing techniques such as Ziegler-Nichols (ZN) tuning method, curve fitting (CF) technique, Wang technique, and regression technique. K E Y W O R D Scuttlefish optimizer, FOPID controller, opposition based two-step approaches, reliability constraints, time delay system

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

New opposition cuttlefish optimizer based two‐step approach for optimal design of fractional order proportional integral derivative controller for time delay systems

Sumathi¹,

Umasankar²

2019

Int J Numerical Modelling

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“…This section introduces the most recently proposed AQM algorithms for supporting congestion control. These algorithms include Random Early Detection (RED) [12], Virtual Queue (VQ) [13,14], Fair Queuing (FQ) [15], Stochastic Fair Queuing (SFQ) [16], Random Exponential Marking (REM) [16], Deficit Round Robin (DRR) [17], and Proportional Integrated (PI) [18,19].…”

Section: Current Aqm Schemesmentioning

confidence: 99%

Active Queue Management for Congestion Control: Performance Evaluation, New Approach, and Comparative Study

al.¹

2017

IJCNT

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Network congestion is one of the most important problems that effect Quality of Service (QoS). Several Active Queue Management (AQM) algorithms have been developed to avoid congestion problem by controlling the queue length in routers. However, an important problem arising with the current AQM algorithms is that most of the current algorithms handle different traffics by the same strategy. This problem may lead to performance degradation especially for real-time applications ssuch as video and audio traffics. This paper first presents a performance evaluation of the current AQM algorithms. It then presents a new AQM algorithm, called Dynamic Queue RED (DQRED), to guarantee efficient QoS to both real-time and non-real-time traffics. Finally, a comparative study is done between the proposed DQRED algorithm and the most recent AQM algorithms by using the network simulator (NS-2) considering different QoS metrics.

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“…Examples are as follows. Chitra and colleagues 15,16 used link utilisation, which is identically reflected by the mean queue length. Baklizi et al 17 used stability of the average queue length as equal to the mean queue length.…”

Section: Introductionmentioning

confidence: 99%

Multidimensional benchmarking of the active queue management methods of network congestion control based on extension of fuzzy decision by opinion score method

et al. 2020

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

Cited by 17 publications

References 17 publications

New opposition cuttlefish optimizer based two‐step approach for optimal design of fractional order proportional integral derivative controller for time delay systems

New opposition cuttlefish optimizer based two‐step approach for optimal design of fractional order proportional integral derivative controller for time delay systems

Active Queue Management for Congestion Control: Performance Evaluation, New Approach, and Comparative Study

Multidimensional benchmarking of the active queue management methods of network congestion control based on extension of fuzzy decision by opinion score method

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