In the last few years the applications of artificial intelligence techniques have been used to convert human experience into a form understandable by computers. Advanced control based on artificial intelligence techniques is called intelligent control. Fuzzy logic is a way to make machines more intelligent enabling them to reason in a fuzzy manner like humans. Fuzzy logic, proposed by Lotfy Zadeh in 1965, emerged as a tool to deal with uncertain, imprecise, or qualitative decision-making problems. Controllers that combine intelligent and conventional techniques are commonly used in the intelligent control of complex dynamic systems. Therefore, embedded fuzzy controllers automate what has traditionally been a human control activity. Fuzzy control theory is an emerging area of research. At the core of many engineering problems is the problem of control of different systems. These systems range all the way from classical inverted pendulum to auto-focusing system of a digital camera. Fuzzy control systems have demonstrated their enhanced performance in all these areas. Fuzzy Controllers, Theory and Applications disclose different fuzzy control architectures organized in terms of the theoretical design and in terms of comparative validation studies in several applications, mathematically simulated or experimentally developed. This book is envisioned for researchers, engineers, and postgraduate students studying in fuzzy systems, control engineering and robotics, but also to the people who want to become familiar with the control concepts based on fuzzy techniques.