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...
Guardat en:
| Autors principals: | , , |
|---|---|
| Format: | Livre numérique |
| Idioma: | Anglais |
| Publicat: |
Boston, MA :
Birkhäuser Boston
2007.
Cham : Springer Nature |
| Col·lecció: | Systems & Control: Foundations & Applications
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| Accés en línia: | Accès sur la plateforme éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Nota: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Filtering theory, with applications to fault detection and isolation, Ali Saberi, Anton A. Stoorvogel, Peddapullaiah Sannuti, Boston, Birkhäuser, 2006, 1 vol. (XIV-723 p.), Systems and control: foundations and applications, 978-0-8176-4301-0 • Filtering Theory, Texte imprimé, 9780817670634 |
Taula de continguts:
- 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.