Abstract: This article presents an improved reduced-sensor-based optimal switching sequence model predictive current control (OSS-MPCC) algorithm for a grid-tied inverter with the LCL filter with only ...

Abstract: This article focuses on the development of a model predictive control (MPC) for a modular multilevel converter (MMC)-based medium voltage microgrid. The developed MPC is aimed to effectively ...

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 ...

A new kind of large language model, developed by researchers at the Allen Institute for AI (Ai2), makes it possible to control how training data is used even after a model has been built.

Manufacturers are navigating a tempestuous landscape, wrestling with the intertwined challenges of pandemic-induced disruptions, potential tariffs and evolving policy shifts that strain global supply ...

Even though it might seem like Tesla has a lot going on—robotaxis, literal humanoid robots, and that ever-elusive affordable model that just keeps getting pushed back—its aging core lineup has only ...

Capvidia, a pioneer in Model-Based Definition (MBD) and digital interoperability, announces full integration support for the latest Siemens' NX™ software release. This significant advancement enhances ...

An artificial-intelligence model did something last month that no machine was ever supposed to do: It rewrote its own code to avoid being shut down. Nonprofit AI lab Palisade Research gave OpenAI’s o3 ...

Forbes contributors publish independent expert analyses and insights. David Henkin helps organizations and individuals innovate and grow. Predictive analytics has evolved from a niche discipline into ...