A self-tuning fuzzy controller
Fuzzy Sets and Systems
Random early detection gateways for congestion avoidance
IEEE/ACM Transactions on Networking (TON)
Design and analysis of a fuzzy proportional-integral-derivative controller
Fuzzy Sets and Systems
Explicit allocation of best-effort packet delivery service
IEEE/ACM Transactions on Networking (TON)
Optimization flow control—I: basic algorithm and convergence
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
A Control Theoretic Analysis of RED TITLE2:
A Control Theoretic Analysis of RED TITLE2:
Design of a hybrid fuzzy logic proportional plus conventional integral-derivative controller
IEEE Transactions on Fuzzy Systems
Brief Parallel structure and tuning of a fuzzy PID controller
Automatica (Journal of IFAC)
IEEE Network: The Magazine of Global Internetworking
Parallel genetic algorithms for the tuning of a fuzzy AQM controller
ICCSA'03 Proceedings of the 2003 international conference on Computational science and its applications: PartI
Fuzzy-smith control for QoS-adaptive notification service
UIC'07 Proceedings of the 4th international conference on Ubiquitous Intelligence and Computing
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In the recent years, the unpredictable growth of the Internet has moreover pointed out the congestion problem, one of the problems that historically have affected the network. This paper deals with the design and the evaluation of a congestion control algorithm which adopts a Fuzzy Controller. The analogy between Proportional Integral (PI) regulators and Fuzzy controllers is discussed and a method to determine the scaling factors of the Fuzzy controller is presented. It is shown that the Fuzzy controller outperforms the PI under traffic conditions which are different from those related to the operating point considered in the design.