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

Dive into intelligent systems, machine learning, and control with this hands-on, project-based introductory textbook.

Marco P. Schoen (Author)

9781316518250, Cambridge University Press

Hardback, published 16 November 2023

450 pages
26.1 x 18.3 x 2.7 cm, 1.18 kg

'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

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.

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.

Subject Areas: Automatic control engineering [TJFM]