DeepSeek open sources DSpark, a new framework to speed up LLM inference by up to 85%

DSpark can make decoding faster, but acceptance quality still determines how much speed the system actually realizes.
IEEE

A New Model-Free Space Vector Modulation Technique for Multilevel Inverters Based On Deep Reinforcement Learning

Abstract: Multilevel inverters provide various advantages over conventional inverters. However, control and switching these types of inverters is a challenge for an increased number of levels that ...
GitHub

Nonlinear Model-Predictive Control Using Koopman Operator

This document provides a detailed explanation of the MATLAB code that demonstrates the application of the Koopman operator theory for controlling a nonlinear system using Model Predictive Control (MPC ...
GitHub

simbattconsult/Li-ion-Battery-P2D-Model

Guo, M., Jin, X. and White, R.E., 2017. "Nonlinear State-Variable Method (NSVM) for Li-Ion Batteries: Finite-Element Method and Control Mode". Journal of The ...
IEEE

Speed Estimation in Induction Motor Drive Using Long Short-Term Memory-Sensorless Model Reference Adaptive System (LSTM-SMRAS) Control

Abstract: Accurate rotor speed estimation is significant for achieving high-performance control in sensorless induction motor drives, especially under dynamic and low-speed operating conditions. This ...
Frontiers

Patient-Specific Cerebral Blood Flow Simulation Based on Commonly Available Clinical Datasets

Cerebral hemodynamics play an important role in the development of cerebrovascular diseases. In this work, we propose a numerical framework for modeling patient-specific cerebral blood flow, using ...