Day 1 of 2

Creating and Simulating a Model

Objective: Create a simple Simulink model, simulate it, and analyze the results.

• Introduction to the Simulink interface
• Potentiometer system
• System inputs and outputs
• Simulation and analysis

Modeling Programming Constructs

Objective: Model and simulate basic programming constructs in Simulink.

• Comparisons and decision statements
• Vector signals
• PWM conversion system
• Zero crossings
• MATLAB Function block

Modeling Discrete Systems

Objective: Model and simulate discrete systems in Simulink.

• Discrete signals and states
• PI controller system
• Discrete transfer functions and state-space systems
• Multirate discrete systems

Modeling Continuous Systems

Objective: Model and simulate continuous systems in Simulink.

• Continuous states
• Throttle system
• Continuous transfer functions and state-space systems
• Physical boundaries

Day 2 of 2

Solver Selection

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

• Solver behavior
• System dynamics
• Discontinuities
• Algebraic loops

Developing Model Hierarchy

Objective: Use subsystems to combine smaller systems into larger systems.

• Subsystems
• Bus signals
• Masks

Modeling Conditionally Executed Algorithms

Objective: Create subsystems that are executed based on a control signal input.

• Conditionally executed subsystems
• Enabled subsystems
• Triggered subsystems
• Input validation model

Combining Models into Diagrams

Objective: Use model referencing to combine models.

• Subsystems and model referencing
• Model referencing workflow
• Model reference simulation modes
• Model workspaces
• Model dependencies

Creating Libraries

Objective: Use libraries to create and distribute custom blocks.

• Creating and populating libraries
• Managing library links
• Adding a library to the Simulink Library Browser