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 ...

This repository contains MATLAB codes for solving Linear Quadratic Regulator (LQR) problems using model-free Reinforcement Learning (RL) techniques. It includes methods such as Policy Iteration, Value ...

Abstract: Effective thermal management is of paramount importance to the reliable and safe operation of electric vehicle (EV) batteries. Most traditional single-zone battery thermal management systems ...

Collaboration supports engineers building AI models in MATLAB and PyTorch, integrating them into system simulations, and deploying to embedded devices .

MathWorks has joined the EDGE AI FOUNDATION, an organisation dedicated to advancing energy‑efficient artificial intelligence ...

Abstract: Grid-forming voltage source converters (VSCs) are regarded as a promising solution for future converter-dominated power systems, but they still demand advanced control schemes to realize ...

The integration of deep reinforcement learning with PD control in humanoid robots enhances gait stability and patient comfort during lower limb rehabilitation.

Certified Control Systems Technician ® (CCST ®) Level I Review Course (TS00) is a fast-paced review of the knowledge and practical skills necessary to install and maintain standard measurement and ...

Environmental planning faces critical challenges, including inconsistent data quality, a shortage of technical expertise, and inadequate data sharing ...