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Sliding mode learning based congestion control for DiffServ networks

Do, M.T., Wang, H.ORCID: 0000-0003-2789-9530, Man, Z. and Jin, J. (2016) Sliding mode learning based congestion control for DiffServ networks. IET Control Theory & Applications, 10 (11). pp. 1281-1287.

Link to Published Version: https://doi.org/10.1049/iet-cta.2015.0948
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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.

Item Type: Journal Article
Publisher: IET
Copyright: © The Institution of Engineering and Technology 2016
URI: http://researchrepository.murdoch.edu.au/id/eprint/53403
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