Fault Diagnosis and Fault-Tolerant Control Strategies for Non-Linear Systems Analytical and Soft Computing Approaches /

  This book presents selected fault diagnosis and fault-tolerant control strategies for non-linear systems in a unified framework. In particular, starting from advanced state estimation strategies up to modern soft computing, the discrete-time description of the system is employed Part I of the book...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριος συγγραφέας: Witczak, Marcin (Συγγραφέας)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2014.
Σειρά:Lecture Notes in Electrical Engineering, 266
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
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245 1 0 |a Fault Diagnosis and Fault-Tolerant Control Strategies for Non-Linear Systems  |h [electronic resource] :  |b Analytical and Soft Computing Approaches /  |c by Marcin Witczak. 
264 1 |a Cham :  |b Springer International Publishing :  |b Imprint: Springer,  |c 2014. 
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490 1 |a Lecture Notes in Electrical Engineering,  |x 1876-1100 ;  |v 266 
520 |a   This book presents selected fault diagnosis and fault-tolerant control strategies for non-linear systems in a unified framework. In particular, starting from advanced state estimation strategies up to modern soft computing, the discrete-time 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 fault-tolerant systems. It starts with a general fault-tolerant 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 well-known Takagi–Sugeno 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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650 2 4 |a Artificial Intelligence (incl. Robotics). 
650 2 4 |a Complexity. 
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776 0 8 |i Printed edition:  |z 9783319030135 
830 0 |a Lecture Notes in Electrical Engineering,  |x 1876-1100 ;  |v 266 
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