Department of Engineering at University of Ferrara offers an advanced course in control engineering, focusing on adaptive and intelligent systems. The syllabus includes designing advanced control schemes, implementing systems using Simulink, and utilizing MATLAB teaching tools. Teaching methods involve pre-recorded movies, computer lab lessons, and English teaching materials. The course aims to engage students by enhancing their understanding with interactive workshops and real-world examples.

• Control Engineering
• MATLAB
• Simulink
• University of Ferrara
• Adaptive Control

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Uploaded on Apr 03, 2024 | 1 Views

Enhancing Advanced Control Engineering Course with MATLAB and Simulink at University of Ferrara

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1. Enhancing an Advanced Control Engineering Course Using MATLAB and Simulink Silvio Simani Department of Engineering, University of Ferrara. Ferrara (FE), ITALY Email: silvio.simani@unife.it URL: www.silviosimani.it

2. Advanced Intelligent Adaptive Control Systems Syllabus 1st/2ndyear MSc Informatics & Automation Engineering Robotics & Automation curriculum Knowledge Advanced control: models for adaptive & intelligent control Abilities Designs of advanced control schemes for dynamic processes Implementation of the control systems (Simulink) Embedding MATLAB/Simulink Teaching Tools in Courses MATLAB Workshop 2023

3. Teaching Methods Course in English! Elective activity Pre-recorded movies Computer lab. lessons Teaching material in English Enhancement of student understanding Embedding MATLAB/Simulink Teaching Tools in Courses MATLAB Workshop 2023

4. Engaging Students Improve Understanding Embedding MATLAB/Simulink Teaching Tools in Courses MATLAB Workshop 2023

5. Teaching Strategies 1. Pre-recorded movies in EN Automatic subtitles 2. Learning by doing Bridging theory & practice 3. Semi-automated design tools Matlab scripts, live scripts, Simulink schemes 4. Real/realistic examples Cooperations with industries, technology transfer projects Embedding MATLAB/Simulink Teaching Tools in Courses MATLAB Workshop 2023

6. 2. Learning by Doing System Identification Steps: data pre-filtering, structure & model selection, identification algorithms, model validation Embedding MATLAB/Simulink Teaching Tools in Courses MATLAB Workshop 2023

7. 2. Learning by Doing (contd) Interactive development of experiments Embedding MATLAB/Simulink Teaching Tools in Courses MATLAB Workshop 2023

8. 3. Semi-Automated Design Model Predictive Control (MPC) design Embedding MATLAB/Simulink Teaching Tools in Courses MATLAB Workshop 2023

9. 3. Semi-Automated Design (contd) Model-based approach Data-driven method Controller design Embedding MATLAB/Simulink Teaching Tools in Courses MATLAB Workshop 2023

10. 4. Real Applications Test case Technology transfer project (automotive company) Diesel engine control PM emission reduction Driving cycle tests Embedding MATLAB/Simulink Teaching Tools in Courses MATLAB Workshop 2023

11. 4. Real Applications (contd) Optimisation of the Electronic Control Unit (ECU) parameters Proportional-Integral controller (by Bosch) Embedding MATLAB/Simulink Teaching Tools in Courses MATLAB Workshop 2023

12. A Recipe for Success? Embedding MATLAB/Simulink Teaching Tools in Courses MATLAB Workshop 2023

13. Quality Assessment Exam (Dec. 2023) Multiple choice questions (theory, EN!) Simulink project (practice) Student survey Course evaluation questionnaire Exam scores Average & std. dev. values + failure rates Results available in June 2024 Embedding MATLAB/Simulink Teaching Tools in Courses MATLAB Workshop 2023

14. Thanks You for Listening Embedding MATLAB/Simulink Teaching Tools in Courses MATLAB Workshop 2023