相關主題
商品描述
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 ForEngineers, programmers, data scientists, and students majoring in engineering and scientific computing who are new to MATLAB and Simulink.
商品描述(中文翻譯)
使用 MATLAB 和 Simulink 套件的基本工具和功能，透過互動範例和案例研究進行說明和演示。本修訂版涵蓋了最新的 MATLAB 2022b 版本中的功能，以及自第一版出版以來發布的其他功能。
本書包含數十個模擬模型和通過 m-files/腳本及 Simulink 模型解決的問題，將幫助您學習編程和建模的基本知識。在解決工程和科學計算問題的過程中，您將熟練掌握 MATLAB/Simulink 的許多內建工具和功能。
《Beginning MATLAB and Simulink, Second Edition》通過比較 MATLAB 和 Simulink，解釋了編程和建模的各種實際問題。在學習和使用本書後，您將能熟練使用 MATLAB 和 Simulink，並將書中範例的源代碼和模型作為您在數據科學或工程項目中的模板。
您將學到什麼
- 掌握 MATLAB 和 Simulink 的編程和建模基本知識
- 使用 MATLAB 進行數據可視化
- 使用 MATLAB 建立 GUI 並開發應用程式
- 使用積分和數值根尋找方法
- 將 MATLAB 應用於基於微分方程的模型和模擬
- 在數據科學項目中使用 MATLAB 和 Simulink
本書適合誰閱讀 本書適合工程師、程序員、數據科學家以及主修工程和科學計算的學生，特別是對 MATLAB 和 Simulink 新手。
作者簡介
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.
作者簡介(中文翻譯)
Sulaymon L. Eshkabilov 博士是北達科他州立大學農業與生物系統工程系的助理教授。他於1994年在塔什干汽車道路學院獲得工程碩士學位，2001年在紐約羅切斯特理工學院獲得科學碩士學位，並於2005年在烏茲別克斯坦科學院的控制論研究所獲得博士學位。他於2006年12月至2017年1月擔任塔什干汽車道路學院的副教授。他在2010/2011學年擔任俄亥俄州和北達科他州立大學的訪問教授和研究員，並於2017年1月至9月在約翰尼斯·開普勒大學任職。他教授多門課程，包括「儀器與測量」、「使用 MATLAB 的系統建模」、「機械設計分析」、「農業動力」和「進階 MATLAB/Simulink 建模」，針對本科生和研究生。
他的研究興趣包括影像處理、機器學習應用、機械振動、微電機系統、機電系統設計以及系統動力學的模擬。他為各種影像數據、增材製造過程優化、振動系統、自主車輛控制以及骨骼機械性質研究開發了模擬和數據分析模型。他是四本專注於機械工程學生和數值分析的 MATLAB/Simulink 應用書籍的作者。他自2009年至2022年擔任歐洲委員會的外部學術專家，評估學術項目。
