Name
Title | ||
|---|---|---|
Statistical-learning control of multiple-delay systems with application to ATM networks. |
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. |
Year | Venue | Keywords |
|---|---|---|
2001 | KYBERNETIKA | propagation delay,congestion control,dynamic system,circuit switched |
Field | DocType | Volume |
Statistical learning theory,Mathematical optimization,Control theory,Telecommunications network,Computer science,Computer network,Statistical algorithm,Probabilistic method,Artificial intelligence,Statistical learning,Network congestion,Atmosphere (unit) | Journal | 37 |
Issue | ISSN | Citations |
3 | 0023-5954 | 1 |
PageRank | References | Authors |
0.36 | 4 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Chaouki T. Abdallah | 1 | 209 | 34.98 |
| Marco Ariola | 2 | 211 | 17.35 |
| Vladimir Koltchinskii | 3 | 89 | 9.61 |