Discrete-time sliding mode learning based congestion control for connection-oriented communication networks

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 addresse...

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Bibliographic Details
Main Authors: Manh Tuan Do, Jiong Jin, Zhihong Man, Hai Wang
Format: Conference Proceeding
Language:English
Subjects:
Bandwidth
Closed loop systems
Communication networks
Congestion control
Delays
discrete-time system
Robustness
Sliding mode control
Stability analysis
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Summary: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.
ISSN:2325-0690
DOI:10.1109/ICAMechS.2016.7813463