Beginning MATLAB and Simulink (2^nd Ed., 2nd ed.) From Beginner to Pro

Langue : Anglais

Couverture de l’ouvrage Beginning MATLAB and Simulink

Résumé
Sommaire
Biographie
Commentaire

Employ essential tools and functions of the MATLAB and Simulink packages, which are explained and demonstrated via interactive examples and case studies. This revised edition covers features from the latest MATLAB 2022b release, as well as other features that have been released since the first edition published.

This book contains dozens of simulation models and solved problems via m-files/scripts and Simulink models which will help you to learn programming and modelling essentials. You?ll become efficient with many of the built-in tools and functions of MATLAB/Simulink while solving engineering and scientific computing problems.

Beginning MATLAB and Simulink, Second Edition explains various practical issues of programming and modelling in parallel by comparing MATLAB and Simulink. After studying and using this book, you'll be proficient at using MATLAB and Simulink and applying the source code and models from the book's examples as templates for your own projects in data science or engineering.

What You Will Learn

Master the programming and modelling essentials of MATLAB and Simulink
Carry out data visualization with MATLAB
Build a GUI and develop App with MATLAB
Work with integration and numerical root finding methods
Apply MATLAB to differential equations-based models and simulations
Use MATLAB and Simulink for data science projects

Who This Book Is For

Engineers, programmers, data scientists, and students majoring in engineering and scientific computing who are new to MATLAB and Simulink.

1. Introduction to MATLAB.- 2. Programming Essentials.- 3. Graphical User Interface Model Development.- 4. MEX files, C/C++ and Standalone Applications.- 5. Simulink Modeling Essentials.- 6. Plots.- 7. Matrix Algebra.- 8. Ordinary Differential Equations.

Sulaymon L. Eshkabilov, PhD is an assistant professor in the Department of Agricultural and Biosystems Engineering at North Dakota State University. He obtained a Master of Engineering degree from Tashkent Automobile Road Institute, a Master of Sciences from Rochester Institute of Technology, NY, and a PhD from the Cybernetics Institute of Academy Sciences of Uzbekistan in 1994, 2001 and 2005, respectively. He was an associate professor at Tashkent Automobile Road Institute from December 2006 through January 2017. He held visiting professor and researcher positions at Ohio and North Dakota State Universities, for 2010/2011 and Johannes Kepler University, from January through September 2017. He teaches a number of courses, including “Instrumentation and Measurement,” “System Modelling with MATLAB,” “Machine Design Analysis,” “Agricultural Power,” and “Advanced MATLAB/Simulink Modelling” for undergraduate and graduate students.

His research interests are image processing, machine learning applications, mechanical vibrations, micro-electro-mechanical systems, mechatronic system design, and simulation of system dynamics. He has developed simulation and data analysis models for various image data, additive manufacturing process optimization, vibrating systems, autonomous vechicle control, and studies of mechanical properties of bones. He is an author of four books devoted to MATLAB/Simulink applications for Mechanical Engineering students and Numerical Analysis. He has worked as an external academic expert for the European Commission to assess academic projects from 2009 through 2022.

A practical in-depth tutorial on MATLAB and Simulink Includes practical case study examples from data science and engineering MATLAB is the leading mathematical and computational science tool in various industries