View and Analyze Simulation Results

View data during simulation, analyze simulation data, save simulation and analysis results

During simulation, you can tune parameter values and view simulation results using one or more tools:

Scope blocks and scope viewers — Quickly connect and visualize data for prototyping and debugging.
Dashboard blocks — View and monitor instantaneous signal values on dashboard displays, such as gauges and lamps.
Simulation Data Inspector — View many signals together on visualizations such as sparklines, time plots, XY plots, and maps.
Record block — Connect and view signals you can log to the workspace, to a file, or to the workspace and a file.
MATLAB^® app — Tune model parameters and visualize signals from a custom app built using App Designer.

For complete information about viewing simulation data, see Decide How to Visualize Simulation Data.

After simulation, analyze the results.

Inspect signal values using cursors and scope measurements.
Import data from other sources into the Simulation Data Inspector to analyze alongside simulation data.
Compare signals or runs to analyze model behavior or data from a parameter sweep.

Save and share the simulation data and analysis results.

Save or export simulation data to a MAT file or a Microsoft^® Excel^® file.
Save data and visualization settings together as a Simulation Data Inspector session.
Generate an interactive report of comparison results.

Frequently Viewed Topics

Featured Examples

Visualize Simulation Data on XY Plot

View and inspect simulation data using the XY visualization and replay controls in the Simulation Data Inspector.

Open Model

View and Replay Map Data

View route of longitude and latitude data on map visualization.

Open Live Script

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 models a rising edge trigger and you can perform basic statistical operations (mean, median, RMS, maximum, minimum) and measure the frequency and period of the pulse period via cursors and peak finding.

(DSP System Toolbox)

Model Fault-Tolerant Fuel Control System

Combine Stateflow® and Simulink® capabilities to 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 in this example represents a fuel control system for a gasoline engine. The system is robust in that it detects individual sensor failures, and the control system is dynamically reconfigured for uninterrupted operation.

Open Model