Price 4,228 ILS


Course Overview

This course is for engineers who are new to system and algorithm modeling and design validation in Simulink®. It demonstrates how to apply basic modeling techniques and tools to develop Simulink block diagrams. Topics include:

  • Creating and modifying Simulink models and simulate system dynamics
  • Modeling continuous-time, discrete-time, and hybrid systems
  • Modifying solver settings for simulation accuracy and speed
  • Building hierarchy into a Simulink model
  • Creating reusable model components using subsystems, libraries, and model references


Knowledge of MATLAB basics.

Course Outline:

1. Introduction
Objective: Obtain a quick overview of The MathWorks and discuss course logistics.
2. Introduction to System Modeling
Objective:Become familiar with system modeling in Simulink and the electronic throttle control system.

  • System modeling in the Simulink environment
  • Electronic throttle control model

3. Creating and Simulating a Model
Objective: Create a simple Simulink model, run simulations, and analyze the results.

  • Define the potentiometer system
  • Become familiar with the Simulink interface
  • Create a Simulink model of the potentiometer system
  • Run simulations and analyze results

4. Modeling Programming Constructs
Objective: Use Simulink to model and simulate basic programming constructs.

  • Model comparisons and decision statements
  • Create and use vector signals
  • Use the Embedded MATLAB Function block

5. Modeling Discrete Systems
Objective: Use Simulink to model and simulate discrete systems.

  • Define discrete states
  • Create a model of a PI controller
  • Model discrete transfer functions and state space systems
  • Model multirate discrete systems

6. Modeling Continuous Systems
Objective: Use Simulink to model and simulate continuous systems.

  • Define the throttle system
  • Create a model for the throttle system
  • Define continuous states
  • Run simulations and analyze results
  • Model impact dynamics


7. Solver Selection
Objective: Select a solver that is appropriate for a given Simulink model.

  • Solver options
  • Discrete solvers
  • Continuous solvers
  • Zero-crossing detection
  • Algebraic loops

8. Developing Model Hierarchy
Objective: Use subsystems to combine smaller systems into larger systems.

  • Subsystems
  • Bus signals
  • Masks

9. Combining Models into Diagrams
Objective: Use model reference to combine models.

  • Overview of model referencing and subsystems
  • Set up a model reference
  • Use model reference simulation modes
  • View signals in referenced models
  • Store parameters in referenced models

10. Creating Libraries
Objective: Use libraries to create and distribute custom blocks.

  • Create new libraries
  • Create configurable subsystems
  • Add libraries to the Library Browser
  • Compare libraries and model references

11. Introduction to Model-Based Design
Objective: Discuss how the Simulink environment can be used for Model-Based Design.

  • Traditional system design process
  • Model-Based Design in the Simulink environment

12. Conclusion
Objective: Find resources for further information and training on the topic. Evaluate the class.

  • Resources
  • Related training courses
  • Evaluations