Active queue management based feedback control for TCP with successive delays in single and multiple bottleneck topology

Sadek, Belamfedel Alaoui; Tissir, El Houssaine; Chaibi, Noreddine

doi:10.1016/j.comcom.2018.01.003

Cited by 40 publications

(17 citation statements)

References 22 publications

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“…

x false(t false)

is the vector state variable of the system,

u_{1} false(t false)

is the control variable,

y false(t false)

is the output of the system.

v false(t false)

represents the unresponsive flow incorporated in [3]. In order to establish a general result, that can be applied for any n ‐dimensional system driven by an m ‐input vector, we will consider in the sequel that

x false(t false) \in ℜ^{n}

and

u false(t false) \in ℜ^{m}

without loosing that in our case

n = 2

and

m = 1

.…”

Section: Model Descriptionmentioning

confidence: 99%

“…The objective is to reduce the conservativeness of the derived conditions while preserving their necessity property. Considering that each node generates a time delay and the global communication delay has an additive delays aspect was considered; e.g see [3, 12–18]. Approach of partitioning/segmented time‐delay has been considered; e.g.…”

Section: Introductionmentioning

confidence: 99%

“…In this paper, for the first time, FF control of the TCP/AQM system with time‐varying delay is considered. As in [3], the results are based on the mathematical model of the TCP/AQM system developed by Xu et al [46], to obtain robust AQM configuration compared to those who build their analysis on the MGT model [47]. Two important results are established.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Small‐gain theorem and finite‐frequency analysis of TCP/AQM system with time varying delay

Sadek

Tissir

Chaibi

2019

IET Control Theory & Applications

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“…

x false(t false)

is the vector state variable of the system,

u_{1} false(t false)

is the control variable,

y false(t false)

is the output of the system.

v false(t false)

x false(t false) \in ℜ^{n}

and

u false(t false) \in ℜ^{m}

without loosing that in our case

n = 2

and

m = 1

.…”

Section: Model Descriptionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Small‐gain theorem and finite‐frequency analysis of TCP/AQM system with time varying delay

Sadek

Tissir

Chaibi

2019

IET Control Theory & Applications

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“…The data is sent as packets and takes a certain amount of time to reach its destination. Hence, quantisation and delays are the two phenomena that should be considered in this context, see for instance [1, 2] and references therein.…”

Section: Introductionmentioning

confidence: 99%

Congestion control with AQM and dynamic quantisers

Sadek

Tissir

Chaibi

2020

IET Control Theory & Appl

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This study is concerned with the design of active queue management (AQM) subjected to quantisation errors. First, the authors will show here that quantisation errors exist when AQM experiences transmission control protocol (TCP) during the congestion. Second, a TCP/AQM model that takes into account quantisation errors is proposed – the considered quantisers are dynamic and have a scale parameter. Based on this model, stabilisation will be analysed in which the controller and the scaling parameters are obtained using the Lyapunov–Krassovskii functional method. Finally, Matlab simulation results are displayed to show the effectiveness of the proposed method.

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“…A sliding mode variable structure control (SMVS) scheme for TCP congestion control was developed in Ren et al (2005). The new results on modeling and stabilization analysis of TCP/AQM system with single and multiple bottleneck topologies were proposed in Belamfedel et al (2018).…”

mentioning

confidence: 99%

Congestion Control in TCP/IP Routers Based on Sampled-Data Systems Theory

Lamrabet

Fezazi

Haoussi

et al. 2020

J Control Autom Electr Syst

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A methodology for designing congestion controllers, based on active queue management (AQM), is presented here. The congestion control law is derived using sampled-data H ∞ systems theory. More precisely, a sampled-data state feedback that guarantees the stability of the closed-loop system and satisfies a H ∞ disturbance attenuation level is derived here, based on sufficient conditions expressed in terms of linear matrix inequalities. The effectiveness of the developed technique is validated on two examples. Keywords AQM • Network congestion control • Sampled-data controller • Saturating input 1 Introduction Network congestion in communication networks is being paid significant attention because of their wide range of applications, from Web servers to industrial control systems. In order to manage network congestion, active queue management (AQM) (Braden et al. 1998) techniques are frequently used, which aim to reduce packet drops and improve the overall network utilization. One of the most well-known AQM policies are random early detection (RED) (Floyd and Jacobson 1993), adaptive RED (ARED) (La et al. 2003) and nonlinear RED (NLRED) (Rastogi and Zaheer 2016). Moreover, the fundamentals of control theory have been used to analyze new AQM schemes, such as proportional integral (PI) (Hollot et al. 2002), proportional integral derivative (PID) (Zhang and Papachristodoulou 2014), adaptive PI (Zhang et al. 2003) and PI enhanced (PIE) (Pan et al. 2013). Also, in Bender (2013) it has proposed the use of a dynamic anti-windup gain matrix to improve the performance of a designed controller used to AQM in congested TCP/IP routers, and it was developed in El Fezazi et al.

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Active queue management based feedback control for TCP with successive delays in single and multiple bottleneck topology

Cited by 40 publications

References 22 publications

Small‐gain theorem and finite‐frequency analysis of TCP/AQM system with time varying delay

Small‐gain theorem and finite‐frequency analysis of TCP/AQM system with time varying delay

Congestion control with AQM and dynamic quantisers

Congestion Control in TCP/IP Routers Based on Sampled-Data Systems Theory

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