This monograph presents a variety of techniques that can be
used for designing robust fault diagnosis schemes for non-linear
systems. The introductory part of the book is of a tutorial value
and can be perceived as a good starting point for the new-comers to
this field. Subsequently, advanced robust observer structures are
presented. Parameter estimation based techniques are discussed as
well. A particular attention is drawn to experimental design for
fault diagnosis. The book also presents a number of robust soft
computing approaches utilizing evolutionary algorithms and neural
networks. All approaches described in this book are illustrated by
practical applications.
General
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