A methodology and skill library for AI-augmented MATLAB/Simulink modeling of Permanent Magnet Synchronous Motor (PMSM) control, built for use with Claude Code. The repository is itself a Claude Code ...

Autonomous electric vehicles require precise coordination between motor torque control and vehicle trajectory tracking. However, permanent magnet synchronous motors (PMSMs) exhibit nonlinear ...

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 ...

As industrial machinery continues to become increasingly complex and software-driven, engineering teams everywhere face mounting pressure to deliver more advanced, flexible and customized solutions ...

Department of Chemistry & Biochemistry, University of California, Los Angeles, Los Angeles, California 90095, United States California NanoSystems Institute, University of California, Los Angeles, Los ...

This research seeks to enhance energy management systems (EMS) within a microgrid by focusing on the importance of accurate renewable energy prediction and its strong correlation with load curtailment ...

Abstract: As the demand for individualized products increases, there is a need for advanced control at the supervisory level, where model predictive control (MPC) becomes an established solution in ...

Integrated systems required for renewable energy use are under development. These systems impose more stringent control requirements. It is quite challenging to control a pumped storage system (PSS), ...

The tuning of proportional-integral-derivative (PID) control loops was an important change at HollyFrontier’s Navajo Refinery in Artesia, N.M. Its hands-on, “mandraulic” culture was no longer cutting ...

Antimicrobial treatments increasingly rely on multidrug combinations, in part because of the emergence and spread of antibiotic resistance. The continued effectiveness of combination treatments ...