Congestion Control in TCP/IP Routers Based on Sampled-Data Systems Theory
| Autor: | Nabil El Fezazi, Teresa Alvarez, Ouarda Lamrabet, Fatima El Haoussi, El Houssaine Tissir |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
0209 industrial biotechnology
Computer science computer.internet_protocol Attenuation Stability (learning theory) Energy Engineering and Power Technology 020206 networking & telecommunications 02 engineering and technology Active queue management Computer Science Applications Network congestion 020901 industrial engineering & automation Internet protocol suite Systems theory Control and Systems Engineering Control theory Computer Science::Networking and Internet Architecture 0202 electrical engineering electronic engineering information engineering State (computer science) Electrical and Electronic Engineering computer Sampled data systems |
| Zdroj: | Journal of Control, Automation and Electrical Systems. 31:588-596 |
| ISSN: | 2195-3899 2195-3880 |
| DOI: | 10.1007/s40313-020-00582-z |
| Popis: | A methodology for designing congestion controllers, based on active queue management (AQM), is presented here. The congestion control law is derived using sampled-data H∞ systems theory. More precisely, a sampled-data state feedback that guarantees the stability of the closed-loop system and satisfies a H∞ disturbance attenuation level is derived here, based on sufficient conditions expressed in terms of linear matrix inequalities. The effectiveness of the developed technique is validated on two examples. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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