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

Working with Measured Data

Simulink Parameter Estimation uses measured input-output data from a prototype or actual system to begin estimating and validating parameters. Data import and preprocessing tools let you operate on multiple sets of test data. You can import known initial conditions from your test and use these to set the model’s state variables during the estimation.

Importing Measured Data

Simulink Parameter Estimation lets you import multiple file types of measured data, including native MATLAB, Microsoft Excel, ASCII, and CSV file formats, as well as predefined state data. You can associate test data with input and output signals at any level within the structure of the model.



You can import data directly from Microsoft Excel. Click on image to see enlarged view.

Preprocessing Measured Data

Measured data often has offsets, outliers, periods of missing values, and other anomalies. These errors may lead to incorrectly estimated parameters. Simulink Parameter Estimation lets you preprocess the measured data to remove these sources of error by:

• Detrending to remove data drift and offset
• Filtering to remove noise and band-limited disturbances
• Interpolating to fill in missing values
• Excluding to remove questionable sections of the data set

Simulink Parameter Estimation helps you preprocess data to remove outliers and unwanted trends. Click on image to see enlarged view.