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Modeling

Design models of dynamic systems

Use Simulink^® to model algorithms and physical systems using block diagrams. You can model linear and nonlinear systems, factoring in real-world phenomena such as friction, gear slippage, and hard stops.

You can design your models to be hierarchical by organizing groups of blocks into subsystems. This approach enables you to build discrete components that reflect your real-life system and simulate the interaction of those components.

Considering system design requirements early can reduce the number of errors found later in the design process. For an example of iterative design, see Basic Modeling Workflow.

Use Simulink for Model-Based Design, where a system model is at the center of the development process, from requirements development, through design, implementation, and testing.

Frequently Viewed Topics

Categories

Design Model Architecture
Create independent components to share between models or teams, reduce visual complexity with model hierarchy
Manage Design Data
Assign variable values using model workspace, symbols, data objects, and data classes
Design Model Behavior
Modeling techniques for specific functionality and applications
Configure Signals, States, and Parameters
Configure block parameters, signal ranges, initial states, data types, sample time
Configure Inputs and Visualizations
Provide signal data and decide how to visualize its simulation
Analyze and Remodel Design
Assess design completeness and model behavior
Test Model Components
Manage component test data, execute test suite in SIL or PIL simulation, configure Model Verification blocks, generate options file for Polyspace^® analysis
Modeling Guidelines
Application-specific guidelines for model architecture, design, and configuration
Tool Qualification and Certification
Qualify Simulink by using the IEC Certification Kit or DO Qualification Kit

Featured Examples

Model a System Algorithm

Model a System Algorithm

Model a simple mechanical system composed of a mass, spring, and damper.

Create Model Components

Create Model Components

Create subsystems in a model for the plant, controller, operator, and environment.

Manage Signal Lines

Manage Signal Lines

Reduce visual complexity caused by signal lines. Group signal lines into buses and visualize simulation data without sinks.

Manage Model Data

Manage Model Data

Use supporting files to specify values for reused variables.

Reuse Model Components from Files

Reuse Model Components from Files

Save components in separate subsystem and model files.

Create Interchangeable Variations of Model Components

Create Interchangeable Variations of Model Components

Create variants of a model component.