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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
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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
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