A new active queue management algorithm based on neural networks pi

TL;DR: A faster response time as well as the regulation of the output to a constant value by the designed FPI controller is clearly observed and it is noted that the F PI controller provides good tracking performance under different circumstances for congestion avoidance in computer networks.

TL;DR: It is shown that the closed-loop system obtained from the controller plus the anti-windup gain can be modeled by a linear system with a dead zone nonlinearity.

TL;DR: Simulations show that the proposed controller with the butterfly-shaped PDC effectively stabilizes the TCP/AQM network even if the system includes time-varying delays.

TL;DR: The designing and evaluating of four controllers to deal with congestion problem and results obtained indicated that the PID gave a better performance, compared to the RED and the PI, in following changes in the desired queue level, and in reducing the loss of packets.

TL;DR: The measurements and the reports of beta testers suggest that the final product is fairly good at dealing with congested conditions on the Internet, and an algorithm recently developed by Phil Karn of Bell Communications Research is described in a soon-to-be-published RFC.

TL;DR: It is shown that a simple additive increase and multiplicative decrease algorithm satisfies the sufficient conditions for con- vergence to an efficient and fair state regardless of the starting state of the network.

TL;DR: In this article, it is shown that a simple additive increase and multiplicative decrease algorithm satisfies the sufficient conditions for con- vergence to an efficient and fair state regardless of the starting state of the network.

TL;DR: This paper uses jump process driven Stochastic Differential Equations to model the interactions of a set of TCP flows and Active Queue Management routers in a network setting and presents a critical analysis of the RED algorithm.