GitHub

DC Motor Control Using Reinforcement Learning (DDPG)

This project implements a Reinforcement Learning based control system for a DC motor using the MATLAB Reinforcement Learning Toolbox and Simulink. A Deep Deterministic Policy Gradient (DDPG) ...
Nature

Real-time control of a robot arm using simultaneously recorded neurons in the motor cortex

Pioneering studies suggested that motor information in the cortex is coded through the combined actions of large populations of widely tuned neurons rather than by small numbers of highly tuned ...
IEEE

Low-Speed Sensorless Control of Switched Reluctance Motor Drives Using Random Pulse Injection for Noise Reduction

Abstract: To reduce copper loss and noise caused by high-frequency pulse injection (HFPI), this article proposes a random pulse injection method based on a proportional-integral control duty cycle (PI ...
IEEE

Intelligent Diagnosis of Closed-Loop Motor Drives Using Interior Control Signals Under Industrial Low Sampling Rate Conditions

Abstract: Interior control signals derived from motor controllers have gained increasing attention in closed-loop motor drive systems for interturn short-circuit fault diagnosis. Mainstream diagnosis ...
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 ...