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Stefan cel Mare
University of Suceava
Faculty of Electrical Engineering and
Computer Science
13, Universitatii Street
Suceava - 720229
ROMANIA

Print ISSN: 1582-7445
Online ISSN: 1844-7600
WorldCat: 643243560
doi: 10.4316/AECE


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  2/2011 - 11

TCP Congestion Control for the Networks with Markovian Jump Parameters

ABOLMASOUMI, A. H. See more information about ABOLMASOUMI, A. H. on SCOPUS See more information about ABOLMASOUMI, A. H. on IEEExplore See more information about ABOLMASOUMI, A. H. on Web of Science, MOMENI, H. R. See more information about MOMENI, H. R. on SCOPUS See more information about MOMENI, H. R. on SCOPUS See more information about MOMENI, H. R. on Web of Science
 
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Download PDF pdficon (638 KB) | Citation | Downloads: 1,326 | Views: 4,625

Author keywords
communication system traffic control, delay systems, linear matrix inequalities, Markov processes, random variables

References keywords
control(15), systems(14), markovian(9), delay(9), time(8), jump(6), design(6), robust(5), stability(4), parameters(4)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2011-05-30
Volume 11, Issue 2, Year 2011, On page(s): 67 - 72
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2011.02011
Web of Science Accession Number: 000293840500011
SCOPUS ID: 79958802202

Abstract
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This paper is concerned with the problem of TCP congestion control for the class of communication networks with random parameters. The linear dynamic model of TCP New Reno in congestion avoidance mode is considered which contains round trip delays in both state and input. The randomness of link capacity, round trip time delay and the number of TCP sessions is modeled with a continuous-time finite state Markov process. An Active Queue Management (AQM) technique is then used to adjust the queue level of the congested link to a predefined value. For this purpose, a dynamic output feedback controller with mode dependent parameters is synthesized to stochastically stabilize the TCP/AQM dynamics. The procedure of the control synthesis is implemented by solving a linear matrix inequality (LMI). The results are tested within a simulation example and the effectiveness of the proposed design method is verified.


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Cited-By Clarivate Web of Science

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Cited-By SCOPUS

SCOPUS® Times Cited: 3
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Cited-By CrossRef

[1] Stochastic hyperbolic random early detection controller based on probability density function estimator and particle swarm optimisation algorithm, Abharian, A.E., Khaloozadeh, H., Amjadifard, R., IET Communications, ISSN 1751-8628, Issue 6, Volume 6, 2012.
Digital Object Identifier: 10.1049/iet-com.2011.0120
[CrossRef]

[2] An LMI approach to design extended predictor feedback controllers for dynamical systems with input delay, Abolmasoumi, Amir Hossein, International Journal of Systems Science, ISSN 0020-7721, Issue 9, Volume 48, 2017.
Digital Object Identifier: 10.1080/00207721.2017.1295330
[CrossRef]

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Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania


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