Fuzzy controllers offer numerous advantages over other control systems in terms of handling nonlinearity and uncertainty, as well as in terms of cost and computing power. This book seeks to provide a comprehensive picture of fuzzy control today, ranging across theoretical principles, to questions of design and case studies of practical application. The first part offers new research on key topics in theory and applications. The authors present their studies of topics including fuzzy logic for edge detection in images, neuro-fuzzy inference systems in civil engineering, and fuzzy approaches to risk analysis. The second part brings new advances in theory and application to the fore. Here, the author will find the latest knowledge on subjects including intelligent control for wheelchair and virtual environment, LMI-based design for fuzzy control systems, and a review of fuzzy controllers for application in high-performance electric drives. Finally, part three offers further in-depth studies of topics in theory and applications. Contributors offer new insights into interval reasoning and differential evolution in modelling and control of nonlinear systems, and new applications of fuzzy logic in aerospace. The book is ideal for any reader seeking the state of the art in this area of control.
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