Engineering Computations and Modeling in MATLAB®/Simulink®, Second Edition.

Format:

Book

Author/Creator:

Yakimenko, Oleg A.

Language:

English

Subjects (All):

MATLAB.

SIMULINK.

Engineering mathematics--Data processing.

Engineering mathematics.

Computer programming.

Physical Description:

1 online resource (957 pages)

Edition:

1st ed.

Place of Publication:

Reston : American Institute of Aeronautics & Astronautics, 2020.

Summary:

Engineering Computations and Modeling in MATLAB®/Simulink®, Second Edition provides a broad overview of The MathWorks' MATLAB®/Simulink®/GUIDE/App Designer development and modeling environment. This textbook shows how to use these software tools effectively in a variety of engineering applications, including modeling real-world dynamic systems. This book is used as a textbook by undergraduate and graduate students taking both introductory and advanced courses in applied programming, and also as a reference for working professionals using MATLAB®/Simulink®.

Contents:

Cover

Half Title

Title Page

Copyright Page

Contents

Preface

Conventions

List of Acronyms

Chapter 1: MATLAB/Simulink as a Technical Computing Language

1.1 Introduction

1.2 History of MATLAB Creation and Development

1.3 Capabilities and Resources

1.4 Aerospace Application Tools

1.5 Overview of MathWorks Products

Chapter 2: Development Environment and Basic Operations

2.1 Introduction

2.2 MATLAB Development Environment and MATLAB Online

2.3 Help System

2.4 Function Collections

2.5 Order of Precedence

2.6 Managing Work Session

2.7 Changing Preferences

2.8 Problem-Solving Methodology

Problems

Chapter 3: Arrays and Array Operations

3.1 Introduction

3.2 Types of Arrays and Indexing Their Elements

3.3 Array Operations

3.4 Array Functions

3.5 Using MATLAB Matrix Formalism To Handle Polynomials

3.6 Handling Text as Character and String Arrays

Chapter 4: Mixed-Type Data "Containers" and Input/Output Management

4.1 Introduction

4.2 Data Types

4.3 Cell Arrays

4.4 Structure Arrays

4.5 Tables

4.6 Types of MATLAB Files

4.7 Recording MATLAB Sessions and Storing Workspace Variables

4.8 Importing and Exporting Data

4.9 Writing and Displaying Formatted Data

4.10 Interactive Input and Output

Chapter 5: Programming in MATLAB

5.1 Introduction

5.2 Relational Operators

5.3 Logical (Boolean) Operators and Functions

5.4 Conditional Statements

5.5 Loops

5.6 The switch Construct

5.7 The Script Files

5.8 Functions

5.9 Developing Professional-Looking Functions

5.10 Editing and Debugging

5.11 Code Analyzer and Profiler

5.12 Formatting MATLAB Comments for Publishing

Chapter 6: 2-D and 3-D Plotting and Animation

6.1 Introduction

6.2 Anatomy of the 2-D (x-y) Plots in MATLAB.

6.3 Line Specifications

6.4 Accessing Plot Properties via the get and set Functions

6.5 Text Strings

6.6 Overlays, Legends, Subplots, and Multiple Figures

6.7 Other Types of the 2-D Plots

6.8 The 3-D Plots

6.9 Changing the Color Palette

6.10 Function-Plotting Functions

6.11 Plot Editing

6.12 Interactive Plotting and Animation

6.13 Requirements to the Engineering Plots

Chapter 7: Symbolic Math Toolbox

7.1 Introduction

7.2 Symbolic Math Toolbox Overview

7.3 Getting Started

7.4 Linear Algebra Functions

7.5 Calculus Functions

7.6 Solving Algebraic and Differential Equations

7.7 Simplification and Substitution

7.8 Other Functions

7.9 Plotting Symbolic Expressions and Using Symbolic Notations

7.10 Using Symbolic Expressions in Numerical Operations

7.11 Symbolic Calculators

7.12 Units of Measurement

Chapter 8: Accuracy of Digital Computations

8.1 Introduction

8.2 Accuracy and Precision of Calculations and Measurements

8.3 Computer Number Representation

8.4 Round-Off Errors

8.5 Truncation Errors

8.6 Control of Numerical Errors

Chapter 9: Numerical Linear Algebra and Eigenvalue Problems

9.1 Introduction

9.2 Classification of LAEs

9.3 Inhomogeneous Sets of LAEs

9.4 Matrix Decompositions

9.5 Special Cases of LAEs

9.6 Applying Linear Algebra To Solve Systems of ODEs

9.7 Using the MATLAB Functions

Chapter 10: Root Finding and Introduction to Optimization

10.1 Introduction

10.2 Bracketing Methods

10.3 Open Methods

10.4 Zeroin Algorithm

10.5 Multiple Roots and Value Finding

10.6 Roots of Polynomials

10.7 From Root Finding to 1-D Unconstrained Optimization

10.8 Introduction to Multidimensional Optimization

10.9 Using the MATLAB Functions

Problems.

Chapter 11: Curve Fitting to Measured Data

11.1 Introduction

11.2 Least-Squares Regression

11.3 Full-Degree Polynomial Approximation

11.4 Piecewise Approximation

11.5 Fourier Approximation

11.6 Using the MATLAB Functions

Chapter 12: Numerical Differentiation

12.1 Introduction

12.2 Two-Point Difference Approximations of the First-Order Derivative

12.3 Error Estimates from the Taylor Series Expansion

12.4 More Accurate Multiple-Point Approximations

12.5 Secondand Higher-Order Derivatives

12.6 Alternative Ways of Obtaining Approximation Formulas

12.7 Partial Derivatives

12.8 Using the MATLAB Functions

Chapter 13: Numerical Integration

13.1 Introduction

13.2 Rectangle Method

13.3 Trapezoidal Rule

13.4 Simpson's 1/3 Rule

13.5 Simpson's 3/8 Rule

13.6 Newton-Cotes Formulas

13.7 Multiple-Application Scheme

13.8 Gauss Quadrature

13.9 Using the MATLAB Functions

Chapter 14: Initial-Value Problem

14.1 Introduction

14.2 Initial-Value Problem Definition

14.3 Single-Step Methods

14.4 Adaptive Single-Step Algorithms

14.5 Multistep Methods

14.6 Stiff Problems and Other Issues

14.7 Using MATLAB IVP Solvers

14.8 Other MATLAB Solvers

Chapter 15: Simulink Basics

15.1 Introduction

15.2 Simulink Development Environment

15.3 Modeling Continuous Dynamics

15.4 Modeling Discrete Systems

15.5 Other Libraries of Simulink

15.6 Integration of MATLAB and Simulink

15.7 Practical Examples

15.8 Model Reviewing and Profiling

Appendix A: LaTeX Symbols, Math Constructs, and Matrices

Appendix B: Functions for Handling Character and String Arrays

Appendix C: Datetime and Categorical Data Types in Support of Tables and Timetables

Appendix D: Hooke-Jeeves Minimization.

Appendix E: Aerospace Systems Modeling Tools

Appendix F: Building and Sharing GUIs and Apps

Bibliography

Index

Supporting Materials.

Notes:

Description based on publisher supplied metadata and other sources.

Other Format:

Print version: Yakimenko, Oleg A. Engineering Computations and Modeling in MATLAB®/Simulink®, Second Edition

ISBN:

9781523146420

1523146427

9781624106484

162410648X

OCLC:

1321804037