Introduction to Simulink for Modelling, Simulation, and Testing
Overview
In this seminar, you will learn Simulink basics for modelling, simulating, and testing control design for multi-domain dynamic systems. You’ll gain insight on how to build models, design control algorithms, and analyse simulations. After learning some basics, you will see how you can tie requirements to your design, test for traceability and verification, and generate code for your software implementation.
Highlights
- Understanding a multi-domain physical system model
- Designing and simulating closed loop PID control algorithms
- Linking requirements to design and tests
- Using tests to verify requirements and design changes
- Generating code for implementing control software
About the Presenter
Maggie Oltarzewski joined MathWorks as a product marketing engineer following roles in systems engineering and robotics. She received her B.S in Mechanical Engineering from Rensselaer Polytechnic Institute and her M.S. in Engineering Management from Tufts University.
Tianyi Zhu is a product marketing manager at MathWorks focused on Simulink, AI, and Model-Based Design. He holds M.S. and B.S. degrees in Electrical and Computer Engineering, both from Carnegie Mellon University.
