Documentation

Getting Started with Simulink Design Optimization

Tutorials

Prepare Data for Parameter Estimation

Import input-output data, extract estimation data, remove outliers, and filter the data.

Estimate Model Parameter Values (GUI)

Use experimental data to estimate model parameter values in the tool.

Estimate Parameters from Measured Data

Estimate parameters of a single-input/single-output (SISO) Simulink® model using the Parameter Estimation tool.

Estimate Model Parameter Values (Code)

Use experimental data to estimate model parameter values at the command line.

Design Optimization to Meet Step Response Requirements (GUI)

Optimize controller parameters using the Response Optimization tool.

Design Optimization to Meet Step Response Requirements (Code)

Optimize controller parameters at the command line.

Design Optimization to Track Reference Signal (GUI)

Optimize parameters without adding Signal Constraint blocks to the model.

Design Optimization Using Frequency-Domain Check Blocks (GUI)

Optimize model parameters to meet frequency-domain design requirements using the Response Optimization tool.

Design Optimization-Based PID Controller for Linearized Simulink Model (GUI)

Design a linear controller using optimization-based tuning in the Control System Designer app.

Time-Domain Model Verification

Check time-domain characteristics such as signal amplitude against specified bounds.

About Design Optimization

Optimization Support for Simulink Models Using Third-Party Applications

Optimize Simulink models that invoke third-party simulation tools or contain legacy simulation code.

Ways to Speed Up Design Optimization Tasks

Use parallel computing, fast restart, and accelerator simulation model to speed up parameter estimation, response optimization, and sensitivity analysis tasks.

How the Optimization Algorithm Formulates Minimization Problems

When you optimize parameters of a Simulink model to meet design requirements, Simulink Design Optimization™ software automatically converts the requirements into a constrained optimization problem and then solves the problem using optimization techniques.

How the Software Formulates Parameter Estimation as an Optimization Problem

Estimation parameters are tuned to minimize the difference between the simulated and measured model responses.

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