Discrete-time control systems (2nd ed.)
Discrete-time control systems (2nd ed.)
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
Adaptive Control
A duality model of TCP and queue management algorithms
IEEE/ACM Transactions on Networking (TON)
LRED: A Robust and Responsive AQM Algorithm Using Packet Loss Ratio Measurement
IEEE Transactions on Parallel and Distributed Systems
Self-tuning control based on generalized minimum variance criterion for auto-regressive models
Automatica (Journal of IFAC)
CDM-based design and performance evaluation of a robust AQM method for dynamic TCP/AQM networks
Computer Communications
A robust discrete-time controller for delay sensitive applications
ICICS'09 Proceedings of the 7th international conference on Information, communications and signal processing
Advances in internet congestion control
IEEE Communications Surveys & Tutorials
A robust active queue management scheme for network congestion control
Computers and Electrical Engineering
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Generic generalized minimum variance-based (GMV) controllers have been adopted as efficient control mechanisms especially in presence of measurement noise. However, such controllers exhibit degraded performance with change in process dynamics. To overcome this problem, a novel congestion controller based on active queue management (AQM) strategy for dynamically varying TCP/AQM networks known as adaptive generalized minimum variance (AGMV) is proposed. AGMV is the combination of the real-time parameter estimation and GMV. The performance of the proposed scheme is evaluated and compared with its adaptive minimum variance (AMV) counterpart under two distinct scenarios: TCP network with unknown parameters and TCP network with time varying parameters. Simulation results indicate that, in either case, AGMV is able to keep the queue length around the desired point. In addition, the superior performance of the proposed controller has been shown with regard to the PI controller, which is well-known in the AQM domain.