Data networks
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
Design a PID Controller for Active Queue Management
ISCC '03 Proceedings of the Eighth IEEE International Symposium on Computers and Communications
A fuzzy logic-based AQM for real-time traffic over internet
Computer Networks: The International Journal of Computer and Telecommunications Networking
Dynamic queue level control of TCP/RED systems in AQM routers
Computers and Electrical Engineering
Brief paper: An H∞ approach to the controller design of AQM routers supporting TCP flows
Automatica (Journal of IFAC)
Implementation of MPC as an AQM controller
Computer Communications
Tight upper bound for stability of TCP/RED systems in AQM routers
IEEE Communications Letters
Managing Internet routers congested links with a Kohonen-RED queue
Engineering Applications of Artificial Intelligence
Adaptive generalized minimum variance congestion controller for dynamic TCP/AQM networks
Computer Communications
Congestion control in high-speed communication networks using the Smith principle
Automatica (Journal of IFAC)
Congestion control as a stochastic control problem with action delays
Automatica (Journal of IFAC)
Robust H∞ state feedback control for linear systems with state delay and parameter uncertainty
Automatica (Journal of IFAC)
Automatica (Journal of IFAC)
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Active queue management has been proved to be an effective mechanism at the intermediate nodes to alleviate network congestion. A novel robust active queue management scheme based on H-infinity feedback control theory is proposed in this paper. A TCP model with link capacity disturbances, modeling uncertainties and time-varying delay is investigated, and the objective is to design a feedback controller which guarantee the queue length stability and robustness against the external disturbances and model perturbations. Meanwhile a simple on-line estimation of TCP window size is adopted instead of state observer which reduces computation burden significantly. The controller parameters are obtained through the standard linear matrix inequality techniques. Finally NS-2 simulation results demonstrate effectiveness of the proposed method.