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

<div>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.<br></div><div><br></div>