Filtering theory : with applications to fault detection, isolation, and estimation
Author(s)
Bibliographic Information
Filtering theory : with applications to fault detection, isolation, and estimation
（Systems & control）
Birkhäuser, c2007
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Note
Bibliography: p.[717]-723
Includes index
Description and Table of Contents
Description
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
by "Nielsen BookData"
