Use Sensitivity Analysis to evaluate how the parameters and states of a Simulink® model influence the model output or model design requirements. You can evaluate your model in the Sensitivity Analyzer, or at the command line. You can speed up the evaluation using parallel computing or fast restart. In the Sensitivity Analyzer, after performing sensitivity analysis, you can export the analysis results to the Parameter Estimator or Response Optimizer apps. To learn more about sensitivity analysis and its applications, see What is Sensitivity Analysis?
| Sensitivity Analyzer | Explore design space and determine most influential model parameters |
Simulink Design Optimization™ software performs global sensitivity analysis.
Generate Parameter Samples for Sensitivity Analysis
This topic shows how to generate parameter samples for sensitivity analysis.
Analyze Relation Between Parameters and Design Requirements
Use visual and statistical analysis techniques to analyze the relationship between the parameters and design requirements.
Validate sensitivity analysis by checking generated parameter values, evaluation results, and analysis results.
Write a cost function for parameter estimation, response optimization, or sensitivity analysis. The cost function evaluates your design requirements using design variable values.
Identify Key Parameters for Estimation (GUI)
This example shows how to use sensitivity analysis to narrow down the number of parameters that you need to estimate when fitting a model.
Identify Key Parameters for Estimation (Code)
This example shows how to use sensitivity analysis to narrow down the number of parameters that you need to estimate to fit a model.
Design Exploration Using Parameter Sampling (GUI)
This example shows how to sample and explore a design space using the Sensitivity Analyzer.
Design Exploration Using Parameter Sampling (Code)
This example shows how to sample and explore a design space.
Explore Design Reliability Using Parameter Sampling (GUI)
This example shows how to use the Sensitivity Analyzer to explore the behavior of a PI controller for a DC motor.
Specify Steady-State Operating Point for Sensitivity Analysis
An operating point of a dynamic system defines the states and root-level input signals of the model at a specific time.
Use Parallel Computing for Sensitivity Analysis
Specify model dependencies and use parallel computing for performing sensitivity analysis in the app, or at the command line.
Use Fast Restart Mode During Sensitivity Analysis
This topic shows how to speed up sensitivity analysis using Simulink fast restart.
Use Accelerator Mode During Simulations
Simulink
Design Optimization software supports Normal and Accelerator simulation modes.
Store Intermediate Data in the App
How to speed up evaluation in the app by storing intermediate data.
Specify Parameters for Design Exploration
Select model parameters for sensitivity analysis in the app.
Specify Time-Domain Requirements
Specify time-domain requirements such as signal matching, amplitude bounds, step response bounds, reference signals, elliptical bounds, and custom bounds.
Specify Parameters Requirements
Specify requirements such as monotonic, smoothness, property, and relational constraints on parameters in your model.
Specify Frequency-Domain Requirements
Specify frequency-domain requirements in the Sensitivity Analyzer.
Perform preprocessing operations such as removing offsets and filtering the data before you use it.
Create linearization input/output sets in the Response Optimizer or Sensitivity Analyzer.
Evaluate your design requirements in the Sensitivity Analyzer.
Use Sensitivity Analysis to Configure Estimation and Optimization
Use the results generated in the Sensitivity Analyzer to configure parameter estimation or response optimization.
Interact with Plots in the Sensitivity Analyzer
Plot and interpret parameter set, requirement, result scatter, contour, and tornado plots.
Generate MATLAB Code for Sensitivity Analysis for Design Space Exploration and Evaluation (GUI)
This example shows how to automatically generate a MATLAB function to solve a Sensitivity Analysis evaluation problem.
Generate MATLAB Code for Sensitivity Analysis Statistics to Identify Key Parameters (GUI)
This example shows how to automatically generate a MATLAB function to solve a Sensitivity Analysis statistics problem.