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...

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Λεπτομέρειες βιβλιογραφικής εγγραφής
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Άλλοι συγγραφείς: Saberi, Ali (Επιμελητής έκδοσης), Stoorvogel, Anton A. (Επιμελητής έκδοσης), Sannuti, Peddapullaiah (Επιμελητής έκδοσης)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Boston, MA : Birkhäuser Boston, 2007.
Σειρά:Systems & Control: Foundations & Applications
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.