What Is the Model-Based Calibration Toolbox?
About the Model Browser
About CAGE
How to Use This Manual
System Requirements
Hardware Requirements
Operating System Requirements
Required MathWorks Products
Optional MathWorks Products
Quickstart Tutorial
Two-Stage Models
Starting the Toolbox
Setting Up the Model
Setting Up the Local Model
Setting Up the Global Model
Selecting Data
Specifying the Response Model
Verifying the Model
Verifying the Local Model
Verifying the Global Model
Selecting the Two-Stage Model
Comparing the Local Model and the Two-Stage Model
Maximum Likelihood Estimation
Response Node
Exporting the Model
Design of Experiment Tutorial
What Is Design of Experiment?
Design Styles
Starting the Design Editor
Optimal Designs
Start Point Tab
Candidate Set Tab
Algorithm Tab
Design Displays
Prediction Error Variance Viewer
Improving the Design
Classical Designs
Classical Design Browser
Set Up and View a Classical Design
Design Evaluation Tool
Improving the Design
Space-Filling Designs
Setting Up a Space-Filling Design
Applying Constraints
Saving Designs
Data Editor Tutorial
Loading the Data
Entering the Data Editor
Loading a Data File
Viewing and Editing the Data
User-Defined Variables & Filtering
Defining a New Variable
Applying a Filter
Sequence of Variables
Deleting and Editing Variables and Filters
Storage
Test Groupings
GUI Reference
Project Level: Startup View
Project Level: Toolbar
Project Level: Menus
Model Tree
Test Plans
Creating a New Test Plan
Creating New Test Plan Templates
Test Plan Level
Block Diagram Representations of Models
Test Plan Level: Toolbar and Menus
Setting Up Models
Instant One-Stage Model Setup
Instant Two-Stage Model Setup
Setting Up Inputs
Global Model Setup
Global Linear Models: Polynomials and Hybrid Splines
Global Model Class: Radial Basis Function
Global Model Class: Hybrid RBF
Global Model Class: Multiple Linear Models
Global Model Class: Free Knot Spline
Local Model Setup
Local Model Class: Polynomials and Polynomial Splines
Local Model Class: Truncated Power Series
Local Model Class: Free Knot Spline
Local Model Class: Growth Models
Local Model Class: Linear Models
Local Model Class: User-Defined Models
Local Model Class: Transient Models
Covariance Modeling
Correlation Models
Transforms
Designing Experiments
Data
The Data Editor
Data Loading and Merging
User-Defined Variables and Filtering
Variable and Filter Editors
Storage
Test Groupings
Data Wizard
Data Selection Window
New Response Models
Datum Models
Local Level
Local Special Plots
Local Scatter Plots
Diagnostic Statistics Pane
Response Features List Pane
Test Notes Pane
Local Level: Toolbar
Local Level: Menus
Model Menu (Local Level)
View Menu (Local Level)
Outliers Menu (Local Level)
Outlier Selection Criteria
Data Tab
Global Level
Global Special Plots
Global Scatter Plots
Global Level: Toolbar
Global Level: Model-Specific Tools
Global Level: Menus
Selecting Models
Select
Model Selection Window
Tests View
Predicted/Observed View
Response Surface View
Likelihood View
RMSE View
Residuals View
Cross Section View
MLE
MLE Settings
Response Level
Response Level: Toolbar and Menus
Model Evaluation Window
Model Evaluation Using Other Data
Exporting Models
What Is Exported?
Evaluating Models in the Workspace
The Design Editor
Design Styles
Design Editor Displays
Creating a Classical Design
Creating a Space Filling Design
Setting Up a Space Filling Design
Creating an Optimal Design
Optimal Design: Start Point Tab
Optimal Design: Candidate Set Tab
Optimal Design: Algorithm tab
Adding Design Points
Fixing, Deleting, and Sorting Design Points
Saving and Importing Designs
Applying Constraints
Constraint Types
Importing Constraints
Prediction Error Variance Viewer
Technical Documents
Linear Regression
Stepwise Regression
Definitions
Prediction Error Variance
High-Level Model Building Process Overview
Univariate Model Building Process Overview
Stepwise Regression Techniques
Stepwise Table
Box-Cox Transformation
Linear Model Statistics Displays
Summary Statistics
ANOVA Table
Diagnostic Statistics
PRESS Statistic
Pooled Statistics
Design Evaluation Tool
Design Matrix
Full FX Matrix
Model Terms
Z2 Matrix
Alias Matrix
Z2.1 Matrix
Regression Matrix
Coefficient Information
Standard Error
Hat Matrix
|X'X|
Raw Residual Statistics
Degrees of Freedom Table
Design Evaluation Graphical Displays
Export of Design Evaluation Information
Maximum Likelihood Estimation
Two-Stage Models for Engines
Local Models
Global Models
Two-Stage Models
Prediction Error Variance for Two-Stage Models
Global Model Selection
References
Local Model Definitions
Local Models and Associated Response Features
Polynomial Models
Polynomial Splines
Truncated Power Series Basis (TPSBS) Splines
Free Knot Splines
Three Parameter Logistic Model
Morgan-Mercer-Flodin Model
Four-Parameter Logistic Curve
Richards Curves
Weibul Growth Curve
Exponential Growth Curve
Gompertz Growth Model
Neural Networks
User-Defined Models
To Begin
Template File
Subfunctions
Optional Subfunctions
Checking into MBC
Check In
MBC Modeling
Transient Models
The Simulink Model
Parameters
Checking the Model
Transient Models
Template File
Subfunctions
Checking into MBC
Check In
MBC Modeling
Data Loading Application Programming Interface
Data Function Prototype
Input Arguments
Output Arguments
Data Function Check In
Radial Basis Functions
Guide to Radial Basis Functions for Model Building
Types of Radial Basis Functions
Gaussian
Thin-Plate Spline
Logistic Basis Function
Wendland's Compactly Supported Function
Multiquadrics
Reciprocal Multiquadrics
Fitting Routines
Center Selection Algorithms
Rols
RedErr
WiggleCenters
CenterExchange
Lambda Selection Algorithms
IterateRidge
IterateRols
StepItRols
Width Selection Algorithms
TrialWidths
WidPerDim
Prune Functionality
Statistics
GCV Criterion
GCV for Ridge Regression
GCV for Rols
References
Hybrid Radial Basis Functions
Width Selection Algorithm: TrialWidths
Lambda and Term Selection Algorithms: Interlace
Lambda and Term Selection Algorithms: TwoStep
Tips for Modeling with Radial Basis Functions
Plan of Attack
How Many RBFs to Use
Width Selection Algorithms
Which RBF to Use
Lambda Selection Algorithms
Center Selection Algorithms
General Parameter Fine-Tuning
Hybrid RBFs