IEEE

Evaluating the ANN Model Performance for PID Controller Tuning in Flow Process Control: A Comparative Study

Abstract: Accurate controller tuning is important for ensuring optimal performance in flow control processes, particularly onboard ships, where precise control of fluid systems such as oil, gas, and ...
GitHub

System Identification and PID Controller Design using MATLAB and Simulink

This project focuses on system identification and PID controller design using measured response data. The objective was to model the system dynamics and improve performance through closed-loop control ...
IEEE

Adaptive PID Gain Scheduling Control for Hydropower Turbine Using Neural CDE and Stochastic Distribution Shaping

Abstract: This paper introduces a gain-scheduling PID controller design strategy for hydroturbine frequency control mode. This scheme first uses real data to learn the nonlinear dynamics of the ...
Investopedia

Two-Bin Inventory Control: Definition, How It Works, and Example

Daniel Liberto is a journalist with over 10 years of experience working with publications such as the Financial Times, The Independent, and Investors Chronicle. Michael Boyle is an experienced ...
Investopedia

Taguchi Method of Quality Control: Definition, Example, and Uses

Will Kenton is an expert on the economy and investing laws and regulations. He previously held senior editorial roles at Investopedia and Kapitall Wire and holds a MA in Economics from The New School ...
GitHub

DeepPID — A deep-learning PID playground featuring Adaptive ML-based system controllers

A playground for experimenting with PID, model‑predictive, and machine‑learning–based controllers. DeepPID provides both traditional and neural adaptive controllers in a single, consistent framework, ...