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
• Solver behavior
• Algebraic loops

Modeling Programming Constructs

Objective: Model and simulate basic programming constructs in Simulink.

• Comparisons and decision statements
• Actuator logic 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
• Physical boundaries
• Continuous transfer functions and state-space systems
• Simulation speed and accuracy

Day 2 of 2

Developing Model Hierarchy

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

• Ports and subsystems
• Masks
• Vector and bus signals

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

Referencing Model Components

Objective: Use referencing to combine subsystems and models.

• Referencing workflows
• Subsystem referencing
• Model referencing
• Root-level inputs and outputs
• Model workspace
• Model reference simulation modes
• 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