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Solving Fault Diagnosis Problems - Linear Synthesis Techniques (Paperback, Softcover reprint of the original 1st ed. 2017)
Loot Price: R4,526
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Solving Fault Diagnosis Problems - Linear Synthesis Techniques (Paperback, Softcover reprint of the original 1st ed. 2017)
Series: Studies in Systems, Decision and Control, 84
Expected to ship within 10 - 15 working days
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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.
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