دانلود کتاب Model-Based Calibration Toolbox Getting Started Guide

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Introduction
Model-Based Calibration Toolbox Product Description
What Is Model-Based Calibration?
Designs and Modeling in the Model Browser
Calibration Generation in CAGE
Gasoline Engine Calibration
Gasoline Case Study Overview
Gasoline Calibration Problem Definition
Case Study Example Files
Design of Experiment
Context
Benefits of Design of Experiment
Power Envelope Survey Testing
Create Designs and Collect Data
Data Collection and Physical Modeling
Empirical Engine Modeling
Examine Response Models
Examine the Test Plan
Optimization
Optimization Overview
View Optimization Results
Set Up Optimization
Filling Tables From Optimization Results
Design and Modeling Scripts
Introduction to the Command-Line Interface
Automate Design and Modeling with Scripts
Processes You Can Automate
Engine Modeling Scripts
Understanding Model Structure for Scripting
Projects and Test Plans for Model Scripting
Response Model Scripting
Boundary Model Scripting
How the Model Tree Relates to Command-Line Objects
Multi-Injection Diesel Calibration
Multi-Injection Diesel Calibration Workflow
Multi-Injection Diesel Problem Definition
Engine Calibration Workflow
Air-System Survey Testing
Multi-Injection Testing
Data Collection and Physical Modeling
Statistical Modeling
Optimization Using Statistical Models
Case Study Example Files
Design of Experiment
Benefits of Design of Experiment
Air-System Survey Testing
Create Designs and Collect Data
Fit a Boundary Model to Air Survey Data
Use the Air Survey and Boundary Model to Create the Final Design
Multi-Injection Testing
Statistical Modeling
Examine the Test Plans for Point-by-Point Models
Examine Response Models
Optimization
Optimization Overview
Set Up Models and Tables for Optimization
Examine the Point Optimization Setup
Examine the Point Optimization Results
Create Sum Optimization from Point Optimization
Fill Lookup Tables from Optimization Results
Examine the Multiobjective Optimization
Model Quickstart
Predict Engine Torque Using Two-Stage Modeling
Open the App and Load Data
Set Up the Model
Verify the Model
Export the Model
Create Multiple Models to Compare
Generate Current Controller Calibration Tables for Flux-Based Motor Controllers
Collect and Post Process Motor Data
Model Motor Data
Generate Calibration
Mapped Engine Lookup Tables
Mapped CI Lookup Tables as Functions of Fuel Mass and Engine Speed
Use Test Plan Template to Fit Models
Open CAGE Project
Use CAGE to Import and Replace Models
Review and Export Lookup Tables
Mapped CI Lookup Tables as Functions of Engine Torque and Speed
Use Test Plan Template to Fit Models
Open CAGE Project
Use CAGE to Import and Replace Models
Review and Export Lookup Tables
Mapped SI Lookup Tables as Functions of Engine Torque and Speed
Use Test Plan Template to Fit Models
Open CAGE Project
Use CAGE to Import and Replace Models
Review and Export Lookup Tables
Design of Experiment
Design of Experiments
Why Use Design of Experiment?
Design Styles
Create Examples Using the Design Editor
Set Up a Model and Create a Design
Set Up Model Inputs
Open the Design Editor
Create a New Design
Create a Constrained Space-Filling Design
Apply Constraints
View Design Displays
Use the Prediction Error Variance Viewer
Introducing the Prediction Error Variance Viewer
Add Points Optimally
Data Editor for Modeling
Manipulate Data for Modeling
View and Edit the Data
Create New Variables and Filters
Store and Import Variables, Filters, and Plot Preferences
Define Test Groupings
Match Data to Experimental Designs
Tradeoff Calibration
Set Up and Perform a Tradeoff Calibration
Set Up a Tradeoff Calibration
Perform the Tradeoff Calibration
Data Sets
Compare Calibrations To Data
Setting Up the Data Set
Comparing the Items in a Data Set
Reassigning Variables
Filling Lookup Tables from Data
Fill Lookup Tables from Data
Setting Up a Lookup Table and Experimental Data
Fill Lookup Table from Experimental Data
Select Data Regions
Export the Calibration
Optimization and Automated Tradeoff
Optimization and Automated Tradeoff
Import Models to Optimize
EM-Sourced Examples
Create Local Designs
Create Optimal Designs
Load and Modify Data
Create and Apply Constraints
Gasoline Case Study Design of Experiment
Point-by-Point Modeling for a Diesel Engine
Gasoline Case Study