Electrical & Computer Engineering Faculty Publications
Document Type
Article
Publication Date
1-1-2001
Abstract
Congestion control in the ABR class of ATM network presents interesting challenges due to the presence of multiple uncertain delays. Recently, probabilistic methods and statistical learning theory have been shown to provide approximate solutions to challenging control problems. In this paper, using some recent results by the authors, an efficient statistical algorithm is used to design a robust, fixed-structure, controller for a high-speed communication network with multiple uncertain propagation delays.
Publisher
Institute of Information Theory and Automation of the ASCR
Publication Title
Kybernetika
ISSN
0023-5954
Volume
37
Issue
3
First Page
355
Last Page
365
Language (ISO)
English
Sponsorship
Institute of Information Theory and Automation of the ASCR
Recommended Citation
Abdallah, Chaouki T.; Marco Ariola; and Vladimir Koltchinskii.
"Statistical-learning control of multiple-delay systems with application to ATM networks."
Kybernetika
