Description
BIRKHAUSER Filtering Theory With Applications To Fault Detection Isolation And Estimation 2006 Edition by Ali Saberi Anton A. Stoorvogel Peddapullaiah Sannuti
Authors are experts in the field and have published books as well as articles in first-rate journals Comprehensive resource that contains many MATLAB-based examples Table of contents : 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 Input-H2 Filtering Optimally (Suboptimally) Input-Decoupled Filtering Without Statistical Information on the Input-H-infinity Filtering Generalized H2 Suboptimally Input-Decoupled Filtering 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