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Advanced methods for fault diagnosis and fault-tolerant control

Steven X. Ding

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Springer Berlin Heidelberg img Link Publisher

Naturwissenschaften, Medizin, Informatik, Technik / Elektronik, Elektrotechnik, Nachrichtentechnik

Beschreibung

The major objective of this book is to introduce advanced design and (online) optimization methods for fault diagnosis and fault-tolerant control from different aspects. Under the aspect of system types, fault diagnosis and fault-tolerant issues are dealt with for linear time-invariant and time-varying systems as well as for nonlinear and distributed (including networked) systems. From the methodological point of view, both model-based and data-driven schemes are investigated.

To allow for a self-contained study and enable an easy implementation in real applications, the necessary knowledge as well as tools in mathematics and control theory are included in this book. The main results with the fault diagnosis and fault-tolerant schemes are presented in form of algorithms and demonstrated by means of benchmark case studies. 
The intended audience of this book are process and control engineers, engineering students and researchers with control engineering background.

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Schlagwörter

fault detection and estimation, model-based and data-driven methods, statistic and machine learning, distributed fault diagnosis, fault-tolerant control, nonlinear systems, fault detection