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

This textbook provides a hands-on and project-based introduction to core topics in intelligent systems, machine learning, and control, with precise and clear explanations, over 70 examples, and modular chapters. It includes open-ended review questions, end-of-chapter problems, and hands-on Arduino assignments, accompanied by solutions for instructors. It is ideal for senior undergraduate and graduate engineering students and professional engineers looking for an engaging and practical introduction to the field.

Format: Unspecified
Length: 450 pages
Publication date: 16 November 2023
Publisher: Cambridge University Press

This comprehensive textbook offers a hands-on and project-based introduction to the foundations of intelligent systems, machine learning, and control. It provides precise and clear explanations of core topics in fuzzy logic, neural networks, optimization, deep learning, and machine learning, without the use of complex mathematical proofs. Supported by over 70 examples, the modular chapters are organized around a consistent learning framework, allowing for tailored course offerings to suit different learning paths.

The book includes over 180 open-ended review questions for self-review and class discussion, over 120 end-of-chapter problems to cement student understanding, and over 20 hands-on Arduino assignments that connect theory to practice, with downloadable Matlab and Simulink code. Comprehensive appendices review the fundamentals of modern control and provide practical information on implementing hands-on assignments using Matlab, Simulink, and Arduino. Accompanied by solutions for instructors, this textbook is an ideal guide for senior undergraduate and graduate engineering students, as well as professional engineers, seeking an engaging and practical introduction to the field.

Weight: 1196g
Dimension: 184 x 262 x 32 (mm)
ISBN-13: 9781316518250