Saberi, A: Filtering Theory
(Sprache: Englisch)
Authors are experts in the field and have published books as well as articles in first-rate journals
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Klappentext zu „Saberi, A: Filtering Theory “
Authors are experts in the field and have published books as well as articles in first-rate journals
Inhaltsverzeichnis zu „Saberi, A: Filtering Theory “
- Preface- Introduction
- 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—H2 Filtering
- Optimally (Suboptimally) Input Decoupled Filtering without Statistical Information on the Input—H-infinity Filtering
- EID, H2 AID, H2 SOID Filtering in the Presence of an Additional Input with Known Frequency
- Generalized H-infinity Suboptimally Input Decoupled Filtering
- Fault Detection, Isolation, and Estimation—Exact or Almost Fault Estimation
- Fault Detection, Isolation, and Estimation—Optimal Fault Estimation
- Index
- References
Bibliographische Angaben
- Autoren: Ali Saberi , Anton A. Stoorvogel , Peddapullaiah Sannuti
- XIV, 723 Seiten, Maße: 16,4 x 24,3 cm, Gebunden, Englisch
- Verlag: Springer Basel AG
- ISBN-10: 081764301X
- ISBN-13: 9780817643010
- Erscheinungsdatum: 15.12.2006
Sprache:
Englisch
Rezension zu „Saberi, A: Filtering Theory “
From the reviews:The book can be recommended to graduate students and researchers in filtering, signal processing and control. -Zentralblatt Math"This book is about filtering of white noise and finite energy type signals for finite-dimensional linear time-invariant system models. ... This book is written for a mathematically mature reader with background in state space, geometric theory and filtering at least at the first year graduate level in engineering or applied mathematics." (Edwin Engin Yaz, Mathematical Reviews, Issue 2007 j)"This book presents a comprehensive study of filtering theory from an essentially structural perspective. ... this book appears particularly suited to scholars, scientists, and researchers. ... the authors also address graduate students and practicing engineers." (Elena Zattoni, International Journal of Robust and Nonlinear Control, Vol. 19, 2009)
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