AI with Model-Based Design
| Start Time | End Time |
|---|---|
| 23 Sep 2025, 2:00 PM EDT | 23 Sep 2025, 3:00 PM EDT |
Overview
Simulation has become an essential part of product development across diverse industries, enabling engineers to achieve higher efficiency, accuracy, and innovation. As interest in AI continues to grow, engineers are increasingly exploring practical ways to integrate AI into simulation and deployment workflows. Model-Based Design (MBD), the systematic use of models throughout the development process, provides a powerful foundation for this integration. In this webinar, you will learn how MATLAB® and Simulink® can be used to incorporate AI into MBD workflows, helping engineers overcome common challenges in AI adoption and bring intelligent functionality to complex systems.
Highlights
- Integrate AI into MBD workflows: Discover how to develop AI models and integrate them into Simulink for simulation, testing, and automatic code generation to accelerate deployment to embedded systems.
- Develop AI-based Reduced Order Models (ROM): Learn how to create ROMs from high-fidelity models or synthetic data with Reduced Order Modeler App and bring them into Simulink for system-level simulation and control design.
- Build virtual sensors with AI: Learn how to develop AI-based virtual sensor models for state estimation when actual measurements are challenging or impractical.
- Implement Reinforcement Learning for Control Design: Explore how to design and train RL agents within Simulink environment for data-driven control system design.
Who Should Attend
Engineers and researchers with an interest in AI and MBD.
About the Presenter
Christine Ruixue Li
Senior Application Engineer | MathWorks
Christine is a Senior Application Engineer at MathWorks with a focus on control systems, dynamics, system identification and integration of AI into MBD. She holds a Ph.D. in Mechanical Engineering from Michigan State University and a M.S./B.S. from Beijing Institute of Technology, with a concentration in control and automotive systems. Since joining MathWorks in 2020, Christine has supported engineers in automotive, industrial automation and semiconductor manufacturing industries in adopting MATLAB and Simulink for modeling, simulation and embedded deployment.
Product Focus
We will not sell or rent your personal contact information. See our privacy policy for details.
You are already signed in to your MathWorks Account. Please press the "Submit" button to complete the process.
