Murdoch University Research Repository

Welcome to the Murdoch University Research Repository

The Murdoch University Research Repository is an open access digital collection of research
created by Murdoch University staff, researchers and postgraduate students.

Learn more

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

Do, M.T., Jin, J., Man, Z. and Wang, H.ORCID: 0000-0003-2789-9530 (2016) Discrete-time sliding mode learning based congestion control for connection-oriented communication networks. In: 2016 International Conference on Advanced Mechatronic Systems (ICAMechS), 30 November - 3 December 2016, Melbourne, VIC, Australia pp. 295-299.

Link to Published Version: https://doi.org/10.1109/ICAMechS.2016.7813463
*Subscription may be required

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.

Item Type: Conference Paper
Publisher: IEEE
Copyright: © 2016 IEEE
URI: http://researchrepository.murdoch.edu.au/id/eprint/53387
Item Control Page Item Control Page