Saberi / Stoorvogel / Sannuti Filtering Theory

With Applications to Fault Detection, Isolation, and Estimation
1. Auflage 2007
ISBN: 978-0-8176-4564-9
Verlag: Birkhäuser Boston
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, 723 Seiten

Reihe: Systems & Control: Foundations & Applications

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

Autoren/Hrsg.

Saberi, Ali

Stoorvogel, Anton A.

Sannuti, Peddapullaiah

Inhaltsverzeichnis

1;Contents;7
2;Preface;13
3;Introduction;15
4;Preliminaries;23
5;A special coordinate basis (SCB) of linear multivariable systems;40
6;Algebraic Riccati equations and matrix inequalities;66
7;Exact disturbance decoupling via state and full information feedback;204
8;Almost disturbance decoupling via state and full information feedback;241
9;Exact input-decoupling filters;304
10;Almost input-decoupled filtering under white noise input;357
11;Almost input-decoupled filtering without statistical assumptions on input;392
12;Optimally (suboptimally) input-decoupling filtering under white noise input—H2 filtering;426
13;Optimally (suboptimally) input-decoupled filtering without statistical information on the input—H-filtering;559
14;Generalized H2 suboptimally input-decoupled filtering;649
15;Generalized H1 suboptimally input-decoupled filtering;678
16;Fault detection, isolation, and estimation — exact or almost fault estimation;695
17;Fault detection, isolation, and estimation — optimal fault estimation;703
18;Index;719
19;References;723