Learning the Model-Based Calibration Toolbox

The toolbox consists of two main user interfaces:

• The Model Browser for Design of Experiment and Statistical Modeling
• The CAGE Browser for Analytical Calibration

The Release Notes summarize new features, bug fixes, upgrade issues, etc., for each of these Model-Based Calibration Toolbox interfaces.

 The Model Browser

Learning about the Model Browser:

• Tutorial: Quick Start describes how to create and evaluate a statistical model of some experimental engine data.
• Tutorial: Design of Experiment describes how to construct, compare and constrain optimal, space-filling and classical designs.
• Tutorial: Data Editor describes how to load and manipulate data by creating new variables, filters and test groupings.
• Using the Model Browser provides links to information about all the functionality of the Model Browser contained in these sections: Designs, Data, and Modeling.

 The CAGE Browser

Learning about CAGE:

• Tutorial: Feature Calibration describes how to set up a calibration using CAGE.
• Tutorial: Tradeoff Calibration introduces the tradeoff concept and describes the method.
• Tutorial: Data Sets describes how to validate a calibration by comparing it to experimental data.
• Tutorial: Filling Tables from Experimental Data describes how to fill lookup tables using experimental data.
• Tutorial: Optimization and Automated Tradeoff describes how to use optimization in CAGE.
• Using CAGE provides links to information about all of the functionality of the CAGE Browser.

 Printing the Documentation

Printable versions of the following documents are available in PDF format:

• Model Browser User's Guide
• CAGE Browser User's Guide
• Model-Based Calibration Toolbox Release Notes

 Related Products

The MathWorks provides several related products that are especially relevant to the kinds of tasks you can perform with the Model-Based Calibration Toolbox.