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SIMULINK FUNDAMENTALS

View schedule and enroll


COURSE DETAILS

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:
 
 * Creating and modifying Simulink models and simulating 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, subsystem
   references, and model references
 * If your application is signal processing or communications, please refer to
   the Signal Processing with Simulink course.
   


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

Level: Fundamental

Prerequisites:

 * MATLAB Fundamentals

Duration: 2 days

Languages: Deutsch, English, Français, 日本語, 한국어, 中文

View schedule and enroll

     Self-Paced

This course is also offered in an online, self-paced format.

Learn more

     Self-Paced

This course is also offered in an online, self-paced format.

Learn more

You have access to Simulink Fundamentals in an online, self-paced format.

Learn more


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Efficiently architect and manage Simulink models. Themes include requirement
integration, source control, enforcement of modeling standards, and report
generation.

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Stateflow for Logic Driven System Modeling

Implement complex decision flows and finite-state machines using Stateflow.
Topics include flow charts, state machines, truth tables, and component-based
modeling.

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Embedded Coder for Production Code Generation

Develop Simulink models for deployment in embedded systems. Topics include code
structure and execution, code generation options and optimizations, and
deploying code to target hardware.

Learn more
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