Modelling and Estimation Strategies for Fault Diagnosis of Non-Linear Systems From Analytical to Soft Computing Approaches /

• Κύριος συγγραφέας: Witczak, Marcin (Συγγραφέας)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg, 2007.
• Σειρά: Lecture Notes in Control and Information Sciences, 354
• Θέματα: Engineering.; System theory.; Control engineering.; Robotics.; Mechatronics.; Control, Robotics, Mechatronics.; Systems Theory, Control.

  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. 

 I. Principles of Fault Diagnosis -- Analytical Techniques-Based FDI -- Soft Computing-Based FDI -- II. State and Parameter Estimation Strategies -- State Estimation Techniques for FDI -- Parameter Estimation-Based FDI -- III. Soft Computing Strategies -- Evolutionary Algorithms -- Neural Networks -- Conclusions and Future Research Directions.