Tips and Tricks for Large-Scale Model-Based Design, Part 2

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Mike Anthony, MathWorks

In this two-part webinar series MathWorks engineers present a series of examples to educate Simulink users on key basic constructs that are essential for successful development of large-scale models. Rather than presenting a single “best” modeling style, these examples focus on teaching fundamental concepts that the user can combine in an educated way to optimize a modeling style for his/her own application. Through product demonstrations, we discuss common areas of interest including:

  • Subsystem boundaries and controlling execution order
  • Virtual and Atomic subsystems in libraries
  • Libraries and model reference
  • Parameter definitions
  • Parameters and signal implementation
  • Signal groupings
  • Interface definitions

This webinar complements a series of papers presented on large scale modeling that are contained in the adopting Model-Based Design technical kit

About the Presenter: Mike Anthony, Senior Applications Engineer at MathWorks, has a B.S.E. in Mechanical and Aerospace Engineering from Princeton University with a Certificate in Robotics and Intelligent Systems. Mike also has an M.S. in Aerospace Engineering from UCLA, concentrating in Systems and Controls. Mike has worked for both Northrop Grumman Integrated Systems and Raytheon Missile Systems as a GNC Engineer. Mike joined The MathWorks as an Application Engineer in October, 2007.

Product Focus

  • Simulink

Recorded: 24 Feb 2012