Foundations of Fuzzy Control: A Practical Approach, 2nd Edition has been significantly revised and updated, featuring two new chapters on Gain Scheduling Control and Neurofuzzy Modelling. This book focuses on the PID (Proportional, Integral, Derivative) type controller, which is the most widely used in industry, and systematically analyzes several fuzzy PID control systems and adaptive control mechanisms. It sets out practical worked-through problems, examples, and case studies to illustrate each type of control system, making complex concepts accessible. Accompanied by a website hosting downloadable MATLAB programs and an online course taught by the author, this book is an invaluable resource for researchers, practitioners, and students in engineering. Especially relevant for engineers working with automatic control of mechanical, electrical, or chemical systems.