Data-Driven Control with MATLAB and Simulink

Overview

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 deep-learning-based model predictive control (MPC), active disturbance rejection control (ADRC), 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.

Highlights

Introduction to data-driven control
Basics and demonstrations of data-driven control techniques including:
- Model predictive control with neural state space prediction model
- Active disturbance rejection control
- Reinforcement learning

Please allow approximately 45 minutes to attend the presentation and Q&A session. We will be recording this webinar, so if you can't make it for the live broadcast, register and we will send you a link to watch it on-demand.

About the Presenters

Melda Ulusoy - Melda Ulusoy is a senior product marketing manager specializing in technical content development for control systems. She is also an author of MATLAB Controls Tech Talks, and has been supporting academics in enhancing control system design courses. She holds a Ph.D. degree in mechanical engineering from Northeastern University, and B.S and M.S degrees in mechatronics engineering from Sabanci University in Turkey.

Emmanouil Tzorakoleftherakis - Emmanouil Tzorakoleftherakis is a senior product manager at MathWorks, with a focus on reinforcement learning and control systems. Emmanouil has a M.S. and a Ph.D. in Mechanical Engineering from Northwestern University, specializing in control systems and robotics, and a B.S. in Electrical and Computer Engineering from University of Patras in Greece.

Siddharth Jawahar - Siddharth Jawahar is a Product Manager for MathWorks with a focus on Control System Toolbox, Simulink Control Design, and Robust Control Toolbox. Siddharth has a M.S. in Electrical and Computer Engineering form Georgia Institute of Technology, specializing in control systems.

Product Focus

Data-Driven Control with MATLAB and Simulink

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