Conference paper
Discrete-time sliding mode learning based congestion control for connection-oriented communication networks
2016 International Conference on Advanced Mechatronic Systems (ICAMechS), pp.295-299
IEEE
2016 International Conference on Advanced Mechatronic Systems (ICAMechS) (Melbourne, VIC, Australia, 30/11/2016–03/12/2016)
2016
Abstract
In this paper, a sliding mode learning controller is developed for connection-oriented communication networks. Firstly, a networking system is modelled as discrete-time n th -order dynamic system subject to time-varying delay, the congestion control problem in communication networks is then addressed by adopting a novel sliding mode learning controller. The proposed learning controller not only suppresses the drawbacks of conventional sliding mode control, but also guarantees the stability of the closed-loop system with strong robustness against uncertainties. The paper offers the plausible application and great potential of discrete-time sliding mode learning controller in communication networks.
Details
- Title
- Discrete-time sliding mode learning based congestion control for connection-oriented communication networks
- Authors/Creators
- M.T. Do (Author/Creator)J. Jin (Author/Creator)Z. Man (Author/Creator)H. Wang (Author/Creator)
- Publication Details
- 2016 International Conference on Advanced Mechatronic Systems (ICAMechS), pp.295-299
- Conference
- 2016 International Conference on Advanced Mechatronic Systems (ICAMechS) (Melbourne, VIC, Australia, 30/11/2016–03/12/2016)
- Publisher
- IEEE
- Identifiers
- 991005543625907891
- Copyright
- © 2016 IEEE
- Murdoch Affiliation
- Murdoch University
- Language
- English
- Resource Type
- Conference paper
Metrics
45 Record Views