A stability approach to fuzzy control design for nonlinear systems
Fuzzy Sets and Systems
Random early detection gateways for congestion avoidance
IEEE/ACM Transactions on Networking (TON)
Fluid-based analysis of a network of AQM routers supporting TCP flows with an application to RED
Proceedings of the conference on Applications, Technologies, Architectures, and Protocols for Computer Communication
Analysis and design of an adaptive virtual queue (AVQ) algorithm for active queue management
Proceedings of the 2001 conference on Applications, technologies, architectures, and protocols for computer communications
Difficulties in simulating the internet
IEEE/ACM Transactions on Networking (TON)
A Predictive and Robust Active Queue Management for Internet Congestion Control
ISCC '03 Proceedings of the Eighth IEEE International Symposium on Computers and Communications
IFSA'03 Proceedings of the 10th international fuzzy systems association World Congress conference on Fuzzy sets and systems
Designing fuzzy controllers from a variable structures standpoint
IEEE Transactions on Fuzzy Systems
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Active Queue management (AQM) takes a trade-off between link utilization and delay experienced by data packets. From the viewpoint of control theory, it is rational to regard AQM as a typical regulation system. Although PI controller for AQM outperforms RED algorithm, the mismatches in simplified TCP flow model inevitably degrades the performance of controller designed with classic control theory. In this paper, a novel fuzzy logic based sliding mode controller is designed for Active Queue Management (AQM) in TCP/AQM networks. This type of controller is insensitive to noise and variance of the parameters, thus it is suitable to time varying network systems. Recently many AQM algorithms have been proposed to address performance degradations of end-to-end congestion control. However, these AQM algorithms show weaknesses to detect and control congestion under dynamically changing network situations. A simulation study over a wide range of IP traffic conditions shows the effectiveness of the proposed controller in terms of the queue length dynamics, the packet loss rates, and the link utilization.