Teaching Intelligent Control Systems with MATLAB and Simulink

Overview

Intelligent control systems, integrating both classical and contemporary methodologies, are pivotal in managing complex systems that exceed the capabilities of traditional control mechanisms. Utilizing adaptive, and learning capabilities —often by employing artificial intelligence algorithms—these systems address intricate challenges effectively. This session will highlight an innovative engineering course designed to embed intelligent control principles within the curriculum, utilizing state-of-the-art MATLAB® and Simulink® tools.

The course aims to enrich the educational experience by providing students with a robust understanding of intelligent control systems, proficiency in modern technological trends for control system design and modeling, and advanced analytical tools for practical applications. By emphasizing project-based learning and hands-on activities, the course aims to enhance essential engineering skills such as analytical thinking, problem-solving, and independent learning, thus preparing students for both academic and industrial careers.

The course employs MATLAB Live Scripts for interactive learning, Simulink for dynamic modeling and simulation, MATLAB® Onramps for self-paced online training, and MATLAB® Grader™ for auto-grading student work. Additionally, it utilizes interoperability between MATLAB and Python and includes low-cost hardware experiments enabling students apply theoretical knowledge to real-life projects. The positive outcomes and student feedback underscore the effectiveness of this educational approach in equipping future engineers with the necessary skills and knowledge.

Highlights

• Innovative engineering education strategies: Teaching AI + X with MATLAB and Simulink
• Ease to use and ease to access tools for teaching purposes (MATLAB Apps, MATLAB Online, low-cost hardware connectivity)
• Project based learnings with MATLAB and Simulink Project Challenge
• Interoperability with Python and low-cost hardware
• Enhance Knowledge Transfer with Self-Paced Online Training
• Automated assessment with MATLAB Grader

About the Presenter

Claudia Fernanda Yasar is an assistant professor at Yildiz Technical University, Istanbul. She graduated in electrical engineer from Universidad Tecnológica de Pereira, and she has worked on safety systems for intelligent buildings and taught in Colombia before to move to Europe. She holds an International Doctorate in Mechatronics from Castila-La Mancha University, where she was honored with Cum Laude and "The Best Spanish PhD Thesis Award 2017." Her research focuses on mechatronics, robotics, and control systems, with numerous publications and contributions to international and Turkish conferences.