Estimation Basics

Estimate Model Parameter Values (GUI)

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

Estimate Model Parameter Values (Code)

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

Estimate Model Parameters and Initial States (GUI)

Estimate model parameters and initial states in the app.

• Estimating Initial Conditions for Blocks with External Initial Conditions

Estimate Model Parameters and Initial States (Code)

Estimate model parameters and initial states at the command line.

Multiple Experiments

Estimate Model Parameters Per Experiment (GUI)

Estimate model parameters in the app using data from some or all experiments.

Estimate Model Parameters Per Experiment (Code)

Estimate model parameters at the command line using data from some or all experiments.

Estimate Model Parameters Using Multiple Experiments (Code)

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

Steady-State Estimation

Specify Steady-State Operating Point for Parameter Estimation

An operating point of a dynamic system defines the states and root-level input signals of the model at a specific time.

Set Model to Steady-State When Estimating Parameters (GUI)

This example shows how to set a model to steady-state in the process of parameter estimation.

Set Model to Steady-State When Estimating Parameters (Code)

This example shows how to set a model to steady-state in the process of parameter estimation.

Parameter Estimation for Power Plant Excitation System Starting at Steady-State (GUI)

This example shows how to parameter estimation while starting the system in steady state using the example of an excitation system model for a power plant electric generator.

Custom Objectives

Estimate Model Parameters with Parameter Constraints (Code)

Estimate model parameters at the command line and impose constraints on the parameter values.

Write a Cost Function

Write a cost function for parameter estimation, response optimization, or sensitivity analysis. The cost function evaluates your design requirements using design variable values.

Speed Up Estimation

Speed Up Parameter Estimation Using Parallel Computing

Scenarios when you can speed up parameter estimation using parallel computing, and how the speedup happens.

Use Parallel Computing for Parameter Estimation

Use parallel computing for parameter estimation in the app, or at the command line.

Improving Optimization Performance Using Fast Restart (GUI)

Use fast restart mode to speed up parameter estimation.

Improving Optimization Performance Using Fast Restart (Code)

Use fast restart mode to speed up parameter estimation at the command line.

Use Accelerator Mode During Simulations

Simulink^® Design Optimization™ software supports Normal and Accelerator simulation modes.

Parameter Estimator Tasks

Specify Estimation Data

Specify estimation data in the Parameter Estimator.

Specify Parameters for Estimation

Choose model parameters for estimation, and specify them in the Parameter Estimator.

Specify Known Initial States

Specify initial conditions for measured data. You can also choose to estimate the initial conditions.

Specify Estimation Options

Specify goodness of fit criteria, estimation options, and parallel computing options.

Estimate Parameters and States

Estimate parameters and states in the Parameter Estimator after specifying estimation data and estimation options.

Save and Load Estimation Sessions

Save and load estimation sessions in the Parameter Estimator.

Code Generation and Deployment

Generate MATLAB Code for Parameter Estimation Problems (GUI)

Use the Parameter Estimator to define an estimation problem, and then generate a MATLAB^® function for parameter estimation at the command line.

Deployed Application of Parameter Estimation

Deploy parameter estimation workflow using Simulink Compiler™.