Filtering Theory With Applications to Fault Detection, Isolation, and Estimation /
The focus of this book is on filtering for linear processes, and its primary goal is to design filters from a class of linear stable unbiased filters that yield an estimation error with the lowest root-mean-square (RMS) norm. Various hierarchical classes of filtering problems are defined based on th...
Συγγραφή απο Οργανισμό/Αρχή: | |
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Άλλοι συγγραφείς: | , , |
Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
Γλώσσα: | English |
Έκδοση: |
Boston, MA :
Birkhäuser Boston,
2007.
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Σειρά: | Systems & Control: Foundations & Applications
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Θέματα: | |
Διαθέσιμο Online: | Full Text via HEAL-Link |
Πίνακας περιεχομένων:
- Preliminaries
- A special coordinate basis (SCB) of linear multivariable systems
- Algebraic Riccati equations and matrix inequalities
- Exact disturbance decoupling via state and full information feedback
- Almost disturbance decoupling via state and full information feedback
- Exact input-decoupling filters
- Almost input-decoupled filtering under white noise input
- Almost input-decoupled filtering without statistical assumptions on input
- Optimally (suboptimally) input-decoupling filtering under white noise input—H2 filtering
- Optimally (suboptimally) input-decoupled filtering without statistical information on the input-H? filtering
- Generalized H2 suboptimally input-decoupled filtering
- Generalized H? suboptimally input-decoupled filtering
- Fault detection, isolation, and estimation—exact or almost fault estimation
- Fault detection, isolation, and estimation—optimal fault estimation.