Modelling and Estimation Strategies for Fault Diagnosis of Non-Linear Systems: From Analytical to Soft Computing Approaches: 354 (Lecture Notes in Control and Information Sciences, 354) - Image 1

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Springer Modelling and Estimation Strategies for Fault Diagnosis of Non-Linear Systems: From Analytical to Soft Computing Approaches: 354 (Lecture Notes in Control and Information Sciences, 354)

Name: Modelling and Estimation Strategies for Fault Diagnosis of Non-Linear Systems: From Analytical to Soft Computing Approaches: 354 (Lecture Notes in Control and Information Sciences, 354)
Brand: Springer

Decorative Arts & Design

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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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Brand: Springer
Format: paperback
ASIN: 3540711147
Category: Books > Subjects > Arts & Photography > Decorative Arts & Design
Domain: Amazon UK
Release Date: 05 April 2007
Listed Since: 12 February 2007

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Springer Modelling and Estimation Strategies for Fault Diagnosis of Non-Linear Systems: From Analytical to Soft Computing Approaches: 354 (Lecture Notes in Control and Information Sciences, 354)

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