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Titlebook: Solving Fault Diagnosis Problems; Linear Synthesis Tec Andreas Varga Book 20171st edition Springer International Publishing AG 2017 Fault D

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Computational Issuess procedures of model detection filters, presented in Chap. ., employ similar computational techniques, and, therefore, are entirely covered in this chapter. While all synthesis procedures have been developed in terms of input–output system representations, the underlying numerical algorithms exclus
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System Theoretical Conceptsrpose of this chapter is to provide a concise statement of the main results on rational matrices and descriptor systems to facilitate the understanding of the mathematical terminology used throughout the book. The treatment in depth of most of concepts was not possible in the restricted size of this
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Computational Algorithms and Software systems, which underlie the computational methods used in the synthesis procedures presented in this book, are described in details. The accompanying software tools implement the algorithms presented in this appendix and can be employed to reproduce all computational results presented in this book.
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Model Detectionodel detection filters which generate a structured set of residuals allowing the discrimination of models in the case of absence or presence of noise inputs, respectively. The discussion of specific performance requirements for model detection and the selection of thresholds to be used for decision-making conclude the chapter.
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Fault Diagnosiss. An important aspect to emphasize is that the formulations of approximate problems include, as particular cases, the formulations of exact problems. This chapter is concluded with a discussion of performance requirements for fault diagnosis systems and the selection of thresholds to be used for decision-making.
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Computational Algorithms and Software systems, which underlie the computational methods used in the synthesis procedures presented in this book, are described in details. The accompanying software tools implement the algorithms presented in this appendix and can be employed to reproduce all computational results presented in this book.
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