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

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, Introduction to Intelligent Systems, Control, and Machine Learning using MATLAB is the ideal guide for senior undergraduate and graduate engineering students, and professional engineers, looking for an engaging and practical introduction to the field.

• Project-based practical learning through using MATLAB, Simulink, and Arduino microcontrollers
• Provides gentle but comprehensive coverage of methods in intelligent systems, machine learning, and control
• Carefully curated appendices fill in gaps in students' theoretical or practical understanding, creating a self-contained learning package
• Clear and relevant examples provided throughout