A strategy for fair coexistence of loss and delay-based congestion control algorithms

development and implementation of an optimized control strategy for induction machine in an electric vehicle

in the area of automotive engineering there is a tendency to more electrification of power train. in this work control of an induction machine for the application of electric vehicle is investigated. through the changing operating point of the machine, adapting the rotor magnetization current seems to be useful to increase the machines efficiency. in the literature there are many approaches wh...

Delay Dependent H∞ Based Robust Control Strategy for Unified Power Quality Conditioner in a Microgrid

This paper proposes a novel robust control scheme based on delay-dependent H∞for unified power quality conditioner (UPQC) in a microgrid under the influence of the delay and parameter uncertainties. A new UPQC model considering the effects of the delay and parameter uncertainties is established. Then, the H∞ controller is designed based on the cone complementarity linearization (CCL) algorithm....

Delay-based AIMD congestion control

Our interest in the paper is investigating whether it is feasible to make modifications to the TCP congestion control algorithm to achieve greater decoupling between the performance of TCP and the level of buffer provisioning in the network. In this paper we propose a new family of delay-based congestion control algorithms that we refer to as delay-based AIMD.

The Case for Delay-based Congestion Control

We argue that, in the absence of explicit feedback, delaybased algorithms become the preferred approach for endto-end congestion control as networks scale up in capacity. Their advantage is small at low speed but decisive at high speed. The distinction between packet-level and flow-level problems of the current TCP exposes the difficulty of lossbased algorithms at large congestion windows.

Delay-based Congestion Control for Low Latency