×

Modelling and estimation strategies for fault diagnosis of non-linear systems. From analytical to soft computing approaches. (English) Zbl 1192.93003

Lecture Notes in Control and Information Sciences 354. Berlin: Springer (ISBN 978-3-540-71114-8/pbk). xv, 208 p. (2007).
Summary: This monograph presents a variety of techniques that can be used for designing robust fault diagnosis schemes for nonlinear 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.
Part I: Principles of fault diagnosis. Analytical techniques based FDI. Soft computing-based FDI. Part II: State and parameter estimation strategies. State estimation techniques for FDI. Parameter estimation based FDI. Part III: Soft computing strategies. Evolutionary algorithms. Neural networks. Conclusions and future research directions.

MSC:

93-02 Research exposition (monographs, survey articles) pertaining to systems and control theory
93A30 Mathematical modelling of systems (MSC2010)
93B30 System identification
93C10 Nonlinear systems in control theory
90C59 Approximation methods and heuristics in mathematical programming

Software:

Genocop; LMI toolbox
PDFBibTeX XMLCite
Full Text: DOI