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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Bibliographic Details
Call Number:Libro Electrónico
Main Authors: Saberi, Ali (Author), Stoorvogel, Anton A. (Author), Sannuti, Peddapullaiah (Author)
Corporate Author: SpringerLink (Online service)
Format: Electronic eBook
Language:Inglés
Published: Boston, MA : Birkhäuser Boston : Imprint: Birkhäuser, 2007.
Edition:1st ed. 2007.
Series:Systems & Control: Foundations & Applications,
Subjects:
Control engineering.
System theory.
Control theory.
Engineering mathematics.
Engineering-Data processing.
Signal processing.
Telecommunication.
Electronic circuits.
Control and Systems Theory.
Systems Theory, Control .
Mathematical and Computational Engineering Applications.
Signal, Speech and Image Processing .
Communications Engineering, Networks.
Electronic Circuits and Systems.
Online Access:Texto Completo
Table of Contents:
  • 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.

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