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View and Analyze Simulation Results

View simulation results to prototype and debug models, inspect and compare data from multiple simulations to validate designs

Simulink^® provides several methods to view and analyze simulation results. Scope blocks and scope viewers enable you to quickly connect signals to visualize results and debug your models. The Simulation Data Inspector enables you to view and inspect signal data from live simulations or imported data and to group data from multiple simulations.

To learn more about approaches to viewing simulation results, see Decide How to Visualize Simulation Data.

Frequently Viewed Topics

View Simulation Results
Connect signals to a scope or scope viewer to prototype, validate, and debug your Simulink model
Inspect and Analyze Simulation Results
Inspect and compare simulation results to validate model designs using the Simulation Data Inspector
Control Simulations with Interactive Displays
Interactively control and verify output from simulations using dashboard blocks

Featured Examples

Viewing Signals in Model Reference Instances

Use the Simulation Data Inspector to view and analyze signals in referenced models. The Simulation Data Inspector relies on signal logging so this example shows how to configure your model to log signals in referenced models.

Open Example

Time Scope Measurements

Measure performance characteristics of a pulse width modulated sinusoid. The example contains a model which you can modify to view the effects of parameter changes on rise time, fall time, overshoot, undershoot, pulse width, pulse period, and duty cycle measurements. The example also shows an example of a rising edge trigger and is set up to perform basic statistical operations (mean, median, RMS, maximum, minimum) and measure the frequency and period of the pulse period via cursors and peak finding.

Open Model

Modeling a Fault-Tolerant Fuel Control System

Combine Stateflow® with Simulink® to efficiently model hybrid systems. This type of modeling is particularly useful for systems that have numerous possible operational modes based on discrete events. Traditional signal flow is handled in Simulink while changes in control configuration are implemented in Stateflow. The model described below represents a fuel control system for a gasoline engine. The system is highly robust in that individual sensor failures are detected and the control system is dynamically reconfigured for uninterrupted operation.