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| Content Provider | IET Digital Library |
|---|---|
| Author | Do, Manh Tuan Jin, Jiong Wang, Hai Man, Zhihong |
| Abstract | In this study, a robust sliding mode learning control scheme is proposed to address the congestion control problem in differentiated services (DiffServ) networks. A validated non-linear network model is based on fluid flow theory corresponding to two important services, namely, the premium traffic and the ordinary traffic. The proposed congestion controller is able to efficiently cope with both the physical network resource constraints and unknown time delays associated with networking systems. Numerical results are presented to illustrate the effectiveness of the proposed control scheme. |
| Starting Page | 1281 |
| Ending Page | 1287 |
| Page Count | 7 |
| ISSN | 17518644 |
| Volume Number | 10 |
| e-ISSN | 17518652 |
| Issue Number | Issue 11, Jul (2016) |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/iet-cta/10/11 |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/10.1049/iet-cta.2015.0948 |
| Journal | IET Control Theory & Applications |
| Publisher Date | 2016-07-18 |
| Access Restriction | Open |
| Rights Holder | © The Institution of Engineering and Technology |
| Subject Keyword | Computer Communication Computer Network And Technique Congestion Control Congestion Control Problem Control Application in Data Transmission Control Engineering Computing Delay Differentiated Service Network DiffServ Network Distributed Parameter Control System Fluid Flow Theory Learning System Multivariable Control System Nonlinear Network Model Ordinary Traffic Physical Network Resource Constraint Premium Traffic Robust Control Robust Sliding Mode Learning Control Scheme Self Adjusting Control System Specific Control System Stability in Control Theory Telecommunication Congestion Control Telecommunication Traffic Unknown Time Delay Variable Structure System |
| Content Type | Text |
| Resource Type | Article |
| Subject | Control and Optimization Control and Systems Engineering Human-Computer Interaction Electrical and Electronic Engineering Computer Science Applications |
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