Modelling and Estimation Strategies for Fault Diagnosis of Non-Linear Systems
From Analytical to Soft Computing Approaches
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Beschreibung
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.
Presents an introduction to fault diagnosis of non-linear systems using analytical and soft computing techniques All techniques are presented in a unified framework - starting from the advanced state estimation strategies through theparameter estimation techniques up to modern soft computing The introductory part of the book is of a tutorial value and a good starting point for the new-comers to this field All approaches described in this book are illustrated by practical applications
Autor*in
Marcin Witczak
Themen in »Modelling and Estimation Strategies for Fault Diagnosis of Non-Linear Systems«
Evolutionary Algorithms Experimental Design Modelling Non-Linear Systems Parameter Estimation Robust Fault Detection Robust Fault Diagnosis State Estimation algorithms neural networks
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From the reviews:
"The book treats a class of nonlinear discrete-time models for dynamical systems and presents further developments of the author’s research on nonlinear system identification and fault detection … . It is intended for researchers, engineers and advanced postgraduate students in control, computer science and related engineering fields." (Alexander V. Nazin, Mathematical Reviews, Issue 2008 d)
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