Teach with MATLAB and Simulink

"Introduction to Model-Based System Design"

Introduction to Model-Based System Design

Course Materials Include:

Introduction to Model-Based System Design

By Professor Marc Herniter
Electrical Engineering
Rose-Hulman Institute of Technology

Zachariah Chambers
Mechanical Engineering
Rose-Hulman Institute of Technology

This undergraduate course on design and implementation of control systems uses xPC Target with Speedgoat hardware to teach Model-Based Design and concepts such as hardware-in-the-loop simulation.

Learning Outcomes

  • Build mathematical models for components in a system.
  • Follow a process of continuous refinement and improvement to generate accurate models.
  • Connect component models together to model a larger more complex system.
  • Set up and run Model-in-the-Loop Simulations (MIL).
  • Set up and run real-time simulations for a physical system.
  • Set up and run Hardware-in-the-Loop Simulations (HIL).
  • Apply basic control algorithms to a real physical system.
  • Deploy a control algorithm on a real-time target.
  • Apply verification and validation methods to a model of a physical system.
  • Use Design of Experiment methods to create models of physical systems.

Download free courseware for Introduction to Model-Based System Design from Rose-Hulman Institute of Technology.

Creative Commons Attribution-ShareAlike 3.0 unported License