Brief paper: An H∞ approach to the controller design of AQM routers supporting TCP flows

Authors:
Feng Zheng;John Nelson
Affiliations:
Department of Electronic and Computer Engineering, University of Limerick, Limerick, Ireland;Department of Electronic and Computer Engineering, University of Limerick, Limerick, Ireland
Venue:
Automatica (Journal of IFAC)
Year:
2009

Citing 6
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Fluid-based analysis of a network of AQM routers supporting TCP flows with an application to RED

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Correspondence: Author's reply: Comments on delay-dependent robust H∞ control for uncertain systems with a state-delay

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Time-delay systems: an overview of some recent advances and open problems

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Incorporating state estimation into model predictive control and its application to network traffic control

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Delay-dependent robust H∞ control for uncertain systems with a state-delay

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Synthesis of PI-type congestion controller for AQM router in TCP/AQM network

LSMS/ICSEE'10 Proceedings of the 2010 international conference on Life system modeling and and intelligent computing, and 2010 international conference on Intelligent computing for sustainable energy and environment: Part I
T-S model-based nonlinear moving-horizon H∞ control and applications

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A robust active queue management scheme for network congestion control

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Abstract

In this paper, we aim at developing an H"~ approach to the design of an active queue management (AQM) based congestion controller for the Internet Protocol. In the approach, the available link bandwidth is modelled as a nominal constant value, which is known to the link, plus a time-variant disturbance, which is unknown. The design objective is to minimize the ratio, denoted as @c, between the norm of the perturbed queue length and that of the disturbance. An important feature of the approach is that the system performances, including the disturbance rejection ratio @c and hence the stability of closed-loop systems, are guaranteed for all round-trip times that are less than a known value. The design is described by matrix inequalities, which can be efficiently solved by the linear matrix inequality toolbox in Matlab.