Designs and Modeling in the Model Browser

  Calibration Generation in CAGE

  Examples of Engine Modeling and Calibration

  Tutorials for Design and Modeling

  Tutorials for Calibration Generation

  Training Material

  Operating System Requirements

  Required MathWorks Products

  Optional MathWorks Products

  Waitbar May Have Transparent Background

• Gasoline Case Study Overview

  Why Use Design of Experiment and Engine Modeling?

  Problem Definition

  Introduction to Two-Stage Modeling

  Overview of Design Process

  Creating a Test Plan

  Specifying the Model Inputs

  Creating Designs

  Data Source

  Import and View Data

  Filter Data

  Completing Model Setup

  Specifying the Local Model Type

  Selecting Data and Responses to Model

  Inspect the Global Models

  Create Multiple Models to Compare

  Create a Two-Stage Model

  Adding New Response Models

  Problem Definition

  Benefits of Automated Calibration

  Altering Variable Ranges

  Setting Up Tables

  Setting Up the Optimization Initial Values and Objective

  Creating Table Gradient Constraints

  Running the Sum Optimization

  What Is an Estimator?

  View the Feature

  View Variables

  Edit and Import Boundary Model

  Use the Feature Fill Wizard

  Inspect Results

  CAGE Import Tool

• Diesel Case Study Overview

  Problem Definition

  Introducing Design of Experiment

  Constraining the Design

  Creating Candidate Designs

  Data Collection

  Overview of Modeling Process

  Building Models

  Building and Evaluating Alternative Models

  Creating Boundary Models

  Export to CAGE

  Problem Definition

  Benefits of Automated Calibration

  Setting Up Initial Values and Sum Objective

  Creating the Brake Specific NOx Constraint

  Setting Weights for the Sum Objective and Constraint

  Set Parameters and Run Optimization

• Point-by-Point Diesel Case Study Overview

  Engine Calibration Specifications and Problem Description

  Required Tasks

  Overview of Programmatic Design and Modeling

  Creating Designs and Models Programmatically

  Open the Project and View Designs

  Analyze and Refine Local Fits

  Introduction

  Load Models to Optimize

  Create Part Load Point Optimization

  Create Full-Load Point Optimization

  Introduction

  Create Data Set from Point Optimization Results

  Create Sum Optimization

  Add Application Point Sets

  Set Up Constraints

  Define Weights and Fixed Variables and Run Optimization

  Introduction

  Create Tables to Fill

  Fill Tables from Optimization Results

  Export Tables

  Introducing Composite Models and Modal Optimization

  Gasoline Example with Four Cylinder and Eight Cylinder Modes

  Diesel Example with Low and High EGR Modes

  Composite Model Example with Separate Tables for Each Mode

  Introduction to the Command-Line Interface

  Processes You Can Automate

  Scripting Demos

  Projects and Test Plans for Model Scripting

  Response Model Scripting

  Boundary Model Scripting

  Two-Stage Models

  Creating the Test Plan

  Setting Up the Local Model

  Setting Up the Global Model

  Selecting Data

  Specifying the Response 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

  Methods For Creating More Models

  Creating New Local Models

  Adding New Response Features

  Comparing Models

  Creating New Global Models

  Creating Multiple Models Using Build Models

• What Is Design of Experiment?

  Design Styles

  Structure of This Design Editor Tutorial

  Setting Up a Model

  Starting the Design Editor

  Creating a New Design

  Introducing Optimal Designs

  Start Point Tab

  Candidate Set Tab

  Algorithm Tab

  Introducing the Prediction Error Variance Viewer

  Improving the Design

  Adding a Classical Design

  Classical Design Browser

  Setting Up and Viewing a Classical Design

  Introduction to the Data Editor

  Entering the Data Editor

  Loading a Data File

  Viewing Data

  Using Notes to Sort Data for Plotting

  Removing Outliers and Problem Tests

  Reordering and Editing Data

  Adding New Variables

  Applying a Filter

  Sequence of Variables

  Deleting and Editing Variables and Filters

  Introducing Matching Data to Designs

  Tolerances and Cluster Information

  Understanding Clusters

  What Are Feature Calibrations?

  Starting CAGE

  Setting Up Variables

  Setting Up Models

  Setting Up a New Feature

  Setting Up the Strategy

  Setting Up the Tables

  Process For Feature Calibration

  Calibrating the Normalizers

  Calibrating the Tables

  Calibrating the Feature

  What Is a Tradeoff Calibration?

  Creating a Tradeoff

  Adding Tables to a Tradeoff Calibration

  Displaying the Models

  Process Overview

  Checking the Normalizers

  Setting Values for Other Variables

  Filling Key Operating Points

  Filling the Table by Extrapolation

  Exporting Calibrations

• Setting Up the Data Set

  Opening an Existing Calibration

  Importing Experimental Data into a Data Set

  Adding an Item to a Data Set

  Viewing the Data Set as a Table

  Viewing the Data Set as a Plot

  Displaying the Error

  Coloring the Display

• Setting Up a Table and Experimental Data

  Adding Variables

  Adding a New Table

  Importing Experimental Data

• Tutorial Overview

  The Optimization View

  Import Models to Optimize

  Process Overview

  Using the Create Optimization from Model Wizard

  Setting Constraints and Operating Points

  Running the Optimization

  Using Optimization Results to Fill Tables

  Using a Custom Fill Routine to Fill Tables

  Setting Up and Running the Multiobjective Optimization

  Optimization Output View

  Selecting Best Solutions

  What Is a Sum Optimization?

  Procedure

  Example Overview

  Using the Worked Example Optimization

  Process Overview

  Step 1: Verify the Algorithm

  Step 2: Create a CAGE Optimization Function

  Step 3: Define the Optimization Options

  Step 4: Add the Algorithm to the Optimization Function

  Step 5: Register Your Optimization Function with CAGE

  Step 6: Verify Your New Optimization