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This book presents selected fault diagnosis and faulttolerant control strategies for nonlinear systems in a unified framework. In particular, starting from advanced state estimation strategies up to modern soft computing, the discretetime description of the system is employed Part I of the book presents original research results regarding state estimation and neural networks for robust fault diagnosis. Part II is devoted to the presentation of integrated fault diagnosis and faulttolerant systems. It starts with a general faulttolerant control framework, which is then extended by introducing robustness with respect to various uncertainties. Finally, it is shown how to implement the proposed framework for fuzzy systems described by the wellknown TakagiSugeno models.This research monograph is intended for researchers, engineers, and advanced postgraduate students in control and electrical engineering, computer science, as well as mechanical and chemical engineering.
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