Foundations of Fuzzy Control

This book gives a full and clearly set out introduction to the topic of fuzzy control, which is key to the efficient working of many consumer, industrial and biomedical applications. It starts with an informative chapter describing the concept of fuzzy control and providing a brief history of the subject. Jantzen then goes on to explain the mathematical basics and theory behind fuzzy control, as well as analysing the system architecture of a fuzzy controller. In the following chapters, Jantzen looks at different types of fuzzy control systems, firstly fuzzy proportional integral-derivative control and fuzzy state space control (operator controlled systems), with a robustness study of fuzzy control rules, then fuzzy adaptive and supervisory control (self-learning/organizing mechanisms). The final two chapters deal with fuzzy modelling and neuro-fuzzy modelling, including a study of an adaptive network-based fuzzy inference system (ANFIS). In order to illustrate each control system, Jantzen works through a particular engineering case study or simulation at the end of each chapter.