Modelling and Estimation Strategies for Fault Diagnosis of Non-Linear Systems [electronic resource] : From Analytical to Soft Computing Approaches / by Marcin Witczak.
Tipo de material:
TextoSeries Lecture Notes in Control and Information Sciences, 354Editor: Berlin, Heidelberg : Springer Berlin Heidelberg, 2007Descripción: XV, 212 p. online resourceTipo de contenido: text Tipo de medio: computer Tipo de portador: online resourceISBN: 9783540711162Trabajos contenidos: SpringerLink (Online service)Tema(s): Engineering | Systems theory | Control engineering systems | Engineering | Control , Robotics, Mechatronics | Systems Theory, ControlFormatos físicos adicionales: Sin títuloClasificación CDD: 629.8 Clasificación LoC:TJ210.2-211.495TJ163.12Recursos en línea: de clik aquí para ver el libro electrónico 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.
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.
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