Learning-Based Control with Interactive Curriculum Material

Dr. Marzia Cescon (University of Houston) presents the educational materials developed for a graduate-level engineering course in learning-based control with MATLAB® and Simulink®. The course provides foundational theory and methodological approaches for obtaining models and designing control laws directly from input-output data measured from a system during operation, integrating system identification, machine learning, and adaptive control. It aims to give the students fundamental knowledge of learning-based control systems, exploring their real-life applications and critically assessing their benefits and limitations. Check out these resources: - Learning-based control curriculum materials: https://bit.ly/4jPMLzH - Learning-based control Tech Talks: https://www.youtube.com/playlist?list=PLn8PRpmsu08qMgKOkTdhg6sT715k1cP3t Chapters: 00:00 Introduction 07:30 Learning-based control course outline 08:29 Model reference adaptive systems hands-on example 12:22 Iterative learning control (ILC) of the DC servo 16:00 Project: Offshore logistics optimization using reinforcement learning 22:37 Project: ILC for trajectory tracking of Crazyflie micro quadcopter drone 27:44 Student feedback -------------------------------------------------------------------------------------------------------- Get a free product trial: https://goo.gl/ZHFb5u Learn more about MATLAB: https://goo.gl/8QV7ZZ Learn more about Simulink: https://goo.gl/nqnbLe See what's new in MATLAB and Simulink: https://goo.gl/pgGtod © 2026 The MathWorks, Inc. MATLAB and Simulink are registered trademarks of The MathWorks, Inc. See www.mathworks.com/trademarks for a list of additional trademarks. Other product or brand names may be trademarks or registered trademarks of their respective holders.