Overview

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.

Full Product Details

9781316518250

Table of Contents

Reviews

'The book provides a thorough coverage of intelligent systems and control, featuring practical Matlab examples and emerging topics such as deep learning and reinforcement learning control. Its uniqueness lies in its capacity to serve as both a valuable college textbook for students, and a practical resource for engineers in related fields.' Jing Wang, Bradley University 'A very clear self-contained introduction to intelligent systems and control, and machine learning. The different topics are explained in a comprehensive way and Matlab commands are given so that students can understand how to use design tools in practical applications.' Antonio Visioli, University of Brescia 'Excellent book and one of the few that does justice to the field of Intelligent Control.' Ajay Mahajan, University of Akron 'The book is easy to read and contains high-quality content that students can easily grasp. It fulfils their desire to learn about control systems with AI applications. The inclusion of different examples using Matlab is a great strength. The layout is good, and the price is fair.' Yakubu Mandafiya John, University of Bradford

'The book provides a thorough coverage of intelligent systems and control, featuring practical Matlab examples and emerging topics such as deep learning and reinforcement learning control. Its uniqueness lies in its capacity to serve as both a valuable college textbook for students, and a practical resource for engineers in related fields.' Jing Wang, Bradley University 'A very clear self-contained introduction to intelligent systems and control, and machine learning. The different topics are explained in a comprehensive way and Matlab commands are given so that students can understand how to use design tools in practical applications.' Antonio Visioli, University of Brescia

Author Information

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.

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