Machine Learning Crash Course for Engineers

<----------------------------------------------------Replace----------------------------------------------------> Concise guide to MATLAB and Simulink for modelling and simulating systems Provides real-world examples exercises and applications Offers highly illustrated step-by-step guidance

 

About this book

<----------------------------------------------------Replace----------------------------------------------------> MATLAB and Simulink Crash Course for Engineers is a reader-friendly introductory guide to the features, functions, and applications of MATLAB and Simulink. The book provides readers with real-world examples, exercises, and applications, and offers highly illustrated, step-by-step demonstrations of techniques for the modelling and simulation of complex systems. MATLAB coverage includes vectors and matrices, programs and functions, complex numbers, visualization, solving equations, numerical methods, optimization problems, and graphical user interfaces. The Simulink coverage includes commonly used Simulink blocks, control system simulation, electrical circuit analysis, electric power systems, power electronics, and renewable energy technology. This powerful tutorial is a great resource for students, engineers, and other busy technical professionals who need to quickly acquire a solid understanding of MATLAB and Simulink.

Keywords

                       

About the author

Eklas Hossain received his Ph.D. in 2016 from the College of Engineering and Applied Science at the University of Wisconsin Milwaukee (UWM). He received his MS in Mechatronics and Robotics Engineering from the International Islamic University Malaysia, Malaysia, in 2010 and a BS in Electrical and Electronic En- gineering from Khulna University of Engineering and Technology, Bangladesh, in 2006. He has been an IEEE Member since 2009, and an IEEE Senior Member since 2017.
He is an Associate Professor in the Department of Electrical and Computer Engineering at Boise State University, Idaho, USA, and a registered Professional Engineer (PE) (license number 93558PE) in the state of Oregon, USA. As the director of the iPower research laboratory, he has been actively working in the area of electrical power systems and power electronics and has published many research papers and posters. In addition, he has served as an Associate Editor for multiple reputed journals over time. He is the recipient of an NSF MRI award (Award Abstract # 2320619) in 2023 for the "Acquisition of a Digital Real-Time Simulator to Enhance Research and Student Research Training in Next-Generation Engineering and Computer Science", and a CAES Collaboration fund with Idaho National Laboratory (INL) on "Overcoming Barriers to Marine Hydrokinetic (MHK) Energy Harvesting in Offshore Environments".

Bibliographic Information

<----------------------------------------------------Replace----------------------------------------------------> DOI: https://doi.org/10.1007/978-3-030-89762-8