Fault Diagnosis for Linear Discrete Time-Varying Systems and Its Applications
portes grátis
Fault Diagnosis for Linear Discrete Time-Varying Systems and Its Applications
Zhong, Maiying; Xue, Ting; Ding, Steven X.; Zhou, Donghua
Springer Verlag, Singapore
11/2022
406
Dura
Inglês
9789811954375
15 a 20 dias
805
Descrição não disponível.
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.
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Fault diagnosis;Fault detection filter;Fault estimation;Linear discrete time-varying systems;Krein space projection;H2 optimization;Hi/H? optimization;H? filtering;Parity space;Robust fault detection
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.
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