GitHub

microsoft/vptq

Vector Post-Training Quantization (VPTQ) is a novel Post-Training Quantization method that leverages Vector Quantization to high accuracy on LLMs at an extremely low bit-width (<2-bit). VPTQ can ...
IEEE

A Fuzzy-Power Direct-Discretization RNN Algorithm for Solving Discrete Multilayer Dynamic Systems With Robotic Applications

Abstract: This work proposes a new recurrent neural network (RNN) algorithm for solving discrete multilayer dynamic systems (DMDSs). First, by utilizing the direct-discretization technique, a ...
IEEE

Optimizing Direct Power Control of Variable Speed Wind Turbine Systems Using Genetic Algorithms and Space Vector Modulation

Abstract: This writing examines the implementation of a genetic algorithm (GA) for optimizing direct power control in variable speed wind turbine systems based on doubly-fed induction generators ...
SciELO

Comparison Between Hysteresis and Predictive Control with Optimized Vector Selection for Direct Power Control to a Shunt Active Power Filter

In this paper, the performance of a shunt active power filter using direct power control based on the hysteresis method and model predictive control is discussed. Furthermore, an optimized vector ...