This book addresses fault detection and isolation topics from a computational perspective.
Unlike most existing literature it bridges the gap between the existing well-developed
theoretical results and the realm of reliable computational synthesis procedures. The
model-based approach to fault detection and diagnosis has been the subject of ongoing research
for the past few decades. While the theoretical aspects of fault diagnosis on the basis of
linear models are well understood most of the computational methods proposed for the synthesis
of fault detection and isolation filters are not satisfactory from a numerical standpoint.
Several features make this book unique in the fault detection literature: Solution of standard
synthesis problems in the most general setting for both continuous- and discrete-time systems
regardless of whether they are proper or not consequently the proposed synthesis procedures
can solve a specific problem whenever a solution exists Emphasis on the best numerical
algorithms to solve the synthesis problems for linear systems in generalized state-space form
(also known as descriptor systems) Development of general synthesis procedures relying on new
computational paradigms such as factorization-based design based on filter updating techniques
and nullspace-based synthesis Availability of a comprehensive set of free accompanying software
tools for descriptor systems which allows readers to easily implement all synthesis procedures
presented in the book and ensures that all results are reproducible This book is primarily
intended for researchers and advanced graduate students in the areas of fault diagnosis and
fault-tolerant control. It will also appeal to mathematicians with an interest in
control-oriented numerics.
