Abstract: In this article, the method of dynamic performance monitoring and adaptive self-tuning of parameters for actual PID control systems of industrial processes in virtual reality scenes is ...

Artificial intelligence (AI) continues to evolve, and fine-tuning pretrained models is a critical step in customizing these models for specific tasks. This tutorial walks you through the essentials of ...

Some wonder if AI will replace PID control loops. The reality is that, instead of replacing PID, AI is stepping in to help keep things running smoothly without upending regulatory trust. Think of AI ...

React Native mobile app for controlling ESP32-based quadcopter drones via WiFi with dual joystick controls, telemetry visualization, PID tuning, and flight logging This project implements a simulation ...

PID loops are a central component of modulating boiler control systems with applications ranging from basic steam header pressure control to cascading 3-element drum level control. A modern ...

Abstract: This paper presents a novel approach for tuning Proportional-Integral-Derivative (PID) controllers using deep learning techniques, specifically applied to the iTCLab, an advanced industrial ...

A program that can do Process Identification and PID Tuning by using Deep Learning designed for people studying and researching chemical engineering. A naive quadcopter simulator equipped with the ...

ABSTRACT: The choice of this investigation is to tune the proportional-integral-derivative (PID) parameters separately for controlling the moisture content in paper industry by using Particle Swarm ...