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Adaptive congestion control in ATM networks

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (2005) 3779 LNCS 321-326
DOI: 10.1007/11577188_46
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Abstract

In this paper an adaptive minimum variance controller is proposed to minimize the rate of stochastic inputs from uncontrollable high priority sources. This method avoids the computations needed for pole placement design of the minimum variance controller, and utilizes an online recursive least squares algorithm in direct tuning of the controller parameters. © IFIP International Federation for Information Processing 2005.

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APA

Habibipour, F., Galily, M., Fardis, M., & Yazdian, A. (2005). Adaptive congestion control in ATM networks. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3779 LNCS, pp. 321–326). https://doi.org/10.1007/11577188_46

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