A Design of Gain-scheduled Congestion Controllers using State Predictive Observers

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International Journal on Smart Sensing and Intelligent Systems

Professor Subhas Chandra Mukhopadhyay

Exeley Inc. (New York)

Subject: Computational Science & Engineering, Engineering, Electrical & Electronic

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VOLUME 1 , ISSUE 1 (March 2008) > List of articles

A Design of Gain-scheduled Congestion Controllers using State Predictive Observers

Takehito Azuma * / Masashi Uchida

Keywords : congestion control systems, networking, TCP/AQM networks, gain-scheduling, state predictive control

Citation Information : International Journal on Smart Sensing and Intelligent Systems. Volume 1, Issue 1, Pages 208-219, DOI: https://doi.org/10.21307/ijssis-2017-287

License : (CC BY-NC-ND 4.0)

Published Online: 13-December-2017

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ABSTRACT

In this paper, a design problem of congestion controllers is discussed for TCP/AQM(Transmission Control Protocol/Active Queue Management) networks. The proposed method consists of two control techniques. First one is based on a gain-scheduling technique considering nonlinearities of TCP/AQM networks. But the designed congestion controller is a state feedback controller and it is impossible to embed the congestion controller in real computer networks. To avoid this problem, second one is based on a design technique of state predictive observer for linear time-delay systems. Thus it can be possible to embed the congestion controller in real networks by combining these methods. Firstly dynamical models of TCP/AQM are described as linear systems with self-scheduling parameters, which also depend on information delay. Here it is distinguishing to focus on constraints on the maximum queue length and TCP window-size, which are the network resources in TCP/AQM networks. And a design method of memoryless state feedback controllers is shown for linear system with a self-scheduling parameter and an information delay. But the designed gain-scheduled congestion controller is a state feedback controller and it is impossible to apply this controller to computer networks directly. Thus observers are also designed and the observer-based congestion controllers are derived.

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