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Training - Courses

SL01: Simulink for System and Algorithm Modeling

This course targets engineers who are new to system and algorithm modeling and design validation in the Simulink environment. It applies basic modeling techniques and tools to developing Simulink block diagrams, including:

  • Modeling continuous-time, single- and multirate discrete-time, and hybrid systems
  • Understanding model hierarchy
  • Executing a condition-based system
  • Automating model simulations
  • Developing custom blocks and libraries

If your application is Signal Processing or Communications, please refer to our Simulink for Signal Processing course.

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 Detailed course outline

 

Course Outline - Part 1

Introduction

Objective: Obtain a quick overview of The MathWorks and discuss course logistics.

Introduction to System Modeling

Objective: Describe the model-based design process and system modeling in Simulink

  • System modeling with the Simulink environment
  • Model-Based Design with Simulink
  • Electronic Throttle Control model
Modeling Algebraic System

Objective: Use Simulink to model and simulate algebraic systems.

  • Define the potentiometer system
  • Introduce the Simulink Interface
  • Create a Simulink model of the potentiometer system 
  • Simulate the model and analyze results
Modeling Logical Systems

Objective: Use Simulink to model and simulate logical systems

  • Define the logical system
  • Create a Simulink model for the logical system
  • Introduce zero crossing
  • Simulate the model and analyze the results
  • Model the system with Embedded MATLAB

 

Course Outline - Part 2
Modeling Continuous Systems

Objective: Use Simulink to model and simulate continuous systems.

  • Define the throttle system
  • Create a Simulink model for the throttle system
  • Define continuous states
  • Choose a continuous solver
  • Simulate the model and analyze results
Modeling Discrete Systems

Objective: Use Simulink to model and simulate discrete systems.

  • Define the IP controller system
  • Create a Simulink model for the IP controller
  • Define discrete states
  • Choose a discrete solver
  • Model multirate discrete systems
Modeling Systems with Subsystems

Objective: Use subsystems to combine smaller systems into larger systems and to model signal driven systems.

  • Create and use subsystems
  • Define model callbacks
  • Contrast virtual and non-virtual subsystems
  • Model conditionally executed subsystems
Combining Models into Diagrams

Objective: Use model reference to combine models

  • Model referencing and subsystems
  • Setup a model reference
  • Model reference simulation modes
  • View signals and referenced models
  • Store parameters in referenced models

 

Course Outline - Part 3
Creating Custom Blocks and Libraries

Objective: Use masks and libraries to create and distribute custom blocks.

  • Masking blocks
  • Creating new libraries
  • Creating configurable subsystems
  • Adding libraries to the Library Browser
  • Compare libraries and model references
Conclusion
  • Additional products, resources, and course evaluation.
  • Appendix I: MATLAB Review
  • Appendix II: Exercises

Prerequisites

Knowledge of MATLAB basics.

Class Time - 8:30 - 12:00 EST

Course Length - 4 half-days

Price - $1,100.00

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