Modelling Physical Systems with Simscape

Discover how to model and simulate real-world physical systems using Simscape. In this webinar, you’ll learn how the physical network approach allows you to build system-level models by assembling intuitive schematics of interconnected components—without deriving complex equations manually.

See how you can adjust model fidelity to match your specific engineering goals, helping you move faster from concept to validation while maintaining the accuracy you need.

What You’ll Learn

• How to model using electrical, mechanical, and multibody components
• Techniques for estimating motor parameters within your system model
• Where Simscape fits best across different engineering applications
• Practical steps to get started building and simulating physical systems right away

Why Attend?

Whether you’re new to physical modeling or looking to streamline your development workflow, this session will give you the foundational knowledge and practical insights to start using Simscape effectively in your projects.

About the Presenters

Jawad Khoury is a Senior Application Engineer at MathWorks (Cambridge, UK) specializing in model-based software development as well as testing and automation workflows across diverse industries. Jawad holds a master’s degree in Intelligent Transportation Systems from the University of Technology of Compiegne (UTC) and a Ph.D. in Electrical and Electronics engineering from the University of Cergy-Paris (UCP).  

Karanjodh Singh Meen has a MS in Mechanical Engineering from Arizona State University and BE form Punjab Engineering College, India. He specializes in the areas of control systems, system dynamics and robotics. In 2018, he joined Technical Support at MathWorks and later moved to the Application Engineering Group in 2019. He works with customers in automotive, medical device, industrial automation and aerospace industries specifically supporting workflows that involve modelling physical systems, designing controls and automatic code generation.

Tianyi Zhu is a product marketing manager at MathWorks focused on Simulink^® and AI. He helps engineers worldwide adopt Model-Based Design, integrate AI functionality into embedded systems, and leverage the power of modelling and automation to accelerate development processes. Tianyi holds an M.S. in Engineering Management and M.S. and B.S. degrees in Electrical and Computer Engineering, all from Carnegie Mellon University.