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Fault Diagnosis for Linear Discrete Time-Varying Systems and Its Applications

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Beschreibung

This book focuses on fault diagnosis for linear discrete time-varying (LDTV) systems and its applications in modern engineering processes, with more weighting placed on the development of theory and methodologies. A comprehensive and systematic study on fault diagnosis for LDTV systems is provided, covering...

Beschreibung

This book focuses on fault diagnosis for linear discrete time-varying (LDTV) systems and its applications in modern engineering processes, with more weighting placed on the development of theory and methodologies. A comprehensive and systematic study on fault diagnosis for LDTV systems is provided, covering H∞-optimization-based fault diagnosis, H∞-filtering-based fault diagnosis, parity space-based fault diagnosis, Krein space technique-aided fault detection and fault estimation, and their typical applications in linear/nonlinear processes such as satellite attitude control systems and INS/GPS systems. This book benefits researchers, engineers, and graduate students in the fields of control engineering, electrical and electronic engineering, instrumentation science, and optoelectronic engineering.

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

03.11.2023

Abbildungen

XIX, 406 p. 103 illus., 94 illus. in color.

Verlag Springer Singapore

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

03.11.2023

Abbildungen

XIX, 406 p. 103 illus., 94 illus. in color.

Verlag Springer Singapore
Seitenzahl

406

Maße (L/B/H)

23,5/15,5/2,4 cm

Gewicht

645 g

Auflage

23001 Auflage 1st ed. 2023

Sprache

Englisch

ISBN

978-981-19-5440-5

Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: ProductSafety@springernature.com

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  • Produktbild: Fault Diagnosis for Linear Discrete Time-Varying Systems and Its Applications
  • Produktbild: Fault Diagnosis for Linear Discrete Time-Varying Systems and Its Applications

  • Chapter 1. Introduction.- Chapter 2. Paradigm of model-based fault detection and diagnosis.- Chapter 3. LDTV systems, and fault detection and estimation for LDTV systems.- Chapter 4. Krein space and Krein space-based optimization technique.- Chapter 5. H2 optimization-based fault detection for LDTV systems.- Chapter 6. Optimal fault detection for LDTV systems.- Chapter 7. A projection-based method of fault detection for LDTV systems.- Chapter 8. An Hi/H∞-optimization scheme of fault detection for LDTV systems.- Chapter 9. An Hi/H∞-optimization approach to event-triggered fault detection for LDTV systems.- Chapter 10. A scheme of optimal fault detection for LDTV systems with delayed state.- Chapter 11. A krein space approach to H∞ fault estimation of LDTV systems.- Chapter 12. On designing H∞ fault detection filter for LDTV systems.- Chapter 13. Krein space based H∞ fault detection for LDTV systems with delayed state.- Chapter 14. Parity space-based fault detection for LDTV systemswith unknown input.- Chapter 15. Parity space-based fault estimation for LDTV systems.- Chapter 16. Event-triggered parity space approach to fault detection for LDTV systems.- Chapter 17. Stationary wavelet transform aided fault detection for LDTV systems.- Chapter 18. An extended H-/H∞ optimization approach to fault detection for a class of nonlinear systems.- Chapter 19. Probability analysis of fault diagnosis performance for satellite attitude control systems.- Chapter 20. Hi/H∞ optimization based fault detection for INS/GPS-integrated systems.- Chapter 21. Krein space based H∞ fault estimation for discrete-time nonlinear systems.- Chapter 22. Adaptive in-flight alignment of INS/GPS systems for aerial mapping.- Chapter 23. On real time performance evaluation of the inertial sensors for INS/GPS integrated systems.- Chapter 24. Summary.