Introduction to Intelligent Systems, Control, and Machine Learning using MATLAB

Erscheinungsjahr 2023
ISBN: 978-1-316-51825-0
Verlag: Cambridge University Press

Buch, Englisch, 450 Seiten, Format (B × H): 183 mm x 260 mm, Gewicht: 1050 g

Dive into the foundations of intelligent systems, machine learning, and control with this hands-on, project-based introductory textbook. Precise, clear introductions to core topics in fuzzy logic, neural networks, optimization, deep learning, and machine learning, avoid the use of complex mathematical proofs, and are supported by over 70 examples. Modular chapters built around a consistent learning framework enable tailored course offerings to suit different learning paths. Over 180 open-ended review questions support self-review and class discussion, over 120 end-of-chapter problems cement student understanding, and over 20 hands-on Arduino assignments connect theory to practice, supported by downloadable Matlab and Simulink code. Comprehensive appendices review the fundamentals of modern control, and contain practical information on implementing hands-on assignments using Matlab, Simulink, and Arduino. Accompanied by solutions for instructors, this is the ideal guide for senior undergraduate and graduate engineering students, and professional engineers, looking for an engaging and practical introduction to the field.

Autoren/Hrsg.

Schoen, Marco P.

Fachgebiete

• Technische Wissenschaften Elektronik | Nachrichtentechnik Nachrichten- und Kommunikationstechnik Regelungstechnik

Inhaltsverzeichnis

1. What is an Intelligent System?; 2. Fuzzy Sets and Fuzzy Logic; 3. Fuzzy Inference and Fuzzy Logic Control; 4. Optimization: Hard Computing; 5. Optimization: Soft Computing; 6. Artificial Neural Networks; 7. Hybrid Intelligent Systems; 8. Deep Learning; 9. Machine Learning.

Über Autor(innen)

Schoen, Marco P.
Marco P. Schoen is a Professor of Mechanical Engineering at Idaho State University, where he is the Director of the Measurement and Control Engineering Research Center. He is a Member of ASME, a Senior Member of IEEE, and AIAA, and the recipient of the 2019 ISU Distinguished Teacher Award.