Data-Driven Control with MATLAB and Simulink

Traditional control methods often face challenges in handling complex systems with unknown dynamics and disturbances, such as in aerospace systems, automated driving, robotics, and motor control applications. Data-driven control provides a powerful solution to the challenges posed by complex systems by utilizing measured data to learn controllers. This webinar introduces various data-driven control techniques such as active disturbance rejection control (ADRC), deep-learning-based model predictive control (MPC), and reinforcement learning (RL). We will discuss the basics of these methods, their benefits and drawbacks, and share success stories from our customers who have successfully implemented data-driven controllers in their applications. Additionally, we will showcase practical demonstrations of different data-driven control methods in various applications with MATLAB and Simulink. Resources: Active Disturbance Rejection Control: https://bit.ly/3wwFQqv Model Predictive Control Toolbox: https://bit.ly/MPC-Toolbox Reinforcement Learning Toolbox: https://bit.ly/RL-Toolbox Chapters: 00:00 Introduction 00:31 Key takeaways & agenda 2:34 Why use data-driven control? 5:24 Why use MATLAB and Simulink for data-driven control? 7:03 Active disturbance rejection control (ADRC) basics 10:14 PMSM control using ADRC 18:17 Model predictive control (MPC) basics 22:36 House heating system control using data-driven MPC 26:47 Creating AI-based reduced order models 27:47 Reinforcement learning (RL) basics 30:57 Rotary inverted pendulum control using RL 36:57 Summary and resources -------------------------------------------------------------------------------------------------------- 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 © 2024 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.