This course (formerly known as Simulink for System and Algorithm Modeling) is for engineers new to system and algorithm modeling in Simulink. It teaches attendees how to apply basic modeling techniques and tools to develop Simulink block diagrams.
Topics include :
a). Creating and modifying Simulink models and simulating system dynamics
b). Modeling continuous-time, discrete-time, and hybrid systems
c). Modifying solver settings for simulation accuracy and speed
d). Building hierarchy into a Simulink model
e). Creating reusable model components using subsystems, libraries, and model references
f). If your application is signal processing or communications, please refer to the Signal Processing with Simulink course.
1. Creating and Simulating a Model
Objective: Create a simple Simulink model, simulate it, and analyze the results.
a). Introduction to the Simulink interface
b). Potentiometer system
c). System inputs and outputs
d). Simulation and analysis
2. Modeling Programming Constructs
Objective: Model and simulate basic programming constructs in Simulink.
a). Comparisons and decision statements
b). Vector signals
c). PWM conversion system
d). Zero crossings
e). MATLAB Function block
3. Modeling Discrete Systems
Objective: Model and simulate discrete systems in Simulink.
a). Discrete signals and states
b). PI controller system
c). Discrete transfer functions and state-space systems
d). Multirate discrete systems
4. Modeling Continuous Systems
Objective: Model and simulate continuous systems in Simulink.
a). Continuous states
b). Throttle system
c). Continuous transfer functions and state-space systems
d). Physical boundaries
5. Solver Selection
Objective: Select a solver that is appropriate for a given model.
a). Solver behavior
b). System dynamics
d). Algebraic loops
6. Developing Model Hierarchy
Objective: Use subsystems to combine smaller systems into larger systems.
b). Bus signals
7. Modeling Conditionally Executed Algorithms
Objective: Create Subsystems that are executed based on a control signal input.
a). Conditionally executed Subsystems
b). Enabled Subsystems
c). Triggered Subsystems
d). Input Validation model
8. Combining Models into Diagrams
Objective: Use model Referencing to combine models.
a). Subsystems and Model Referencing
b). Model Referencing Workflow
c). Model Reference Simulation modes
d). Model Work spaces
e). Model Dependencies
9. Creating Libraries
Objective: Use Libraries to create and Distribute custom blocks.
a). Creating and Populating Libraries
b). Managing library links
c). Adding a library to the Simulink Library Browser