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Скачать или смотреть Teaching Intelligent Control Systems with MATLAB and Simulink

  • MATLAB
  • 2025-04-24
  • 3421
Teaching Intelligent Control Systems with MATLAB and Simulink
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Описание к видео Teaching Intelligent Control Systems with MATLAB and Simulink

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. Presented by Claudia Fernanda Yasar, assistant professor at Yildiz Technical University, Istanbul, this talk highlights an innovative engineering course designed to embed intelligent control principles within the curriculum, utilizing state-of-the-art MATLAB® and Simulink® tools.

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 to 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.

Chapters:
00:00 Introduction and Lab Tour
04:56 Understanding Intelligent Control Systems: Fixed-Wing Aircraft and Climbing Robotics Examples
08:33 Interactive Learning with MATLAB Live Scripts
11:10 Assigning MATLAB and Simulink Onramps to Students
12:01 Using MATLAB Grader for Assignments and Automated Assessment
14:04 Student Project Ideas Using MATLAB and Simulink Challenge Projects
15:00 Intelligent Control Systems Curriculum: Dynamic System Modeling, Data-Driven Modeling, Model- and Data-Driven Control
17:33 Examples of Computational Thinking Tools – Virtual Hardware and Labs for Control
24:11 Deep Dive on Data-Driven Modeling
28:07 The Use of Python and MATLAB
32:46 Student Feedback and Project Success
35:52 Conference Presentations and Journal Publications
37:26 Conclusions and Highlights
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