Simulink Parameter Estimation 1.2.3

Product Description

• Introduction and Key Features
• Working with Simulink Parameter Estimation
• Working with Measured Data
• Refining Models with Measured Data
• Representing Systems with Adaptive Lookup Tables

Introduction

Simulink Parameter Estimation is a tool that helps you calibrate the response of your Simulink model to the outputs of a physical system, eliminating the need to tune model parameters by trial and error or develop your own optimization routines. You can use time-domain test data and optimization methods to estimate model parameters and initial conditions and generate adaptive lookup tables in Simulink.

Simulink models of dynamic systems often contain parameters that cannot be directly measured or accurately modeled. Using input-output data from a physical system or prototype, Simulink Parameter Estimation calculates the unknown parameters and reconciles differences between the Simulink model and the system.

Key Features

• Parameter tuning from transient, time-domain test data
• Adaptive lookup table builder that uses test data to map outputs to inputs
• Graphical user interface to manage the parameter estimation process
• Test data preprocessing tools, including data selection, offset removal, detrending, noise filtering, and missing data reconstruction
• Dynamic visualization to evaluate the progress of the estimation process
• Multiple results comparison to validate the parameter estimation

Simulink Parameter Estimation lets you calibrate the response of a Simulink model using test data. Click on image to see enlarged view.