The neural network has been trained using a Bayesian regularization algorithm. Finally, the stability of the designed controller is analyzed using the Lyapunov stability method and the performance of ...

This paper presents a simple yet effective method to design a decentralized proportional−integral−derivative controller for multivariable processes. On the basis of structure decomposition, the ...

This repository showcases a hybrid control system combining Reinforcement Learning (Q-Learning) and Neural-Fuzzy Systems to dynamically tune a PID controller for an Autonomous Underwater Vehicle (AUV) ...

Learn how to use MATLAB, Simulink, Scilab, Xcos, Python, Jupyter Notebook, online tools, and hardware experiments for PID controller analysis and simulation.

In this project, it is aimed to design a PID controller in NI LabVIEW software to control AC servo motor driven by Lexium 32 that connected to Schneider TM238LFDC24DT PLC. To establish communication ...

Citation: Samuel IA, Izi O, Somefun TE, Awelewa AA and Katende J (2022) Design and performance analysis of a charge controller for solar system using MATLAB/SIMULINK.

Proportional-integral-derivative (PID) controllers are undoubtedly the most employed controllers in industry, and they have significantly contributed to the impact of control systems in society. This ...

This study presents an online tuning proportional-integral-derivative (PID) controller using a multilayer fuzzy neural network design for quadcopter attitude control. PID controllers are simple but ...