Filtering Theory

1. Introduction
2. Preliminaries
3. A special coordinate basis (SCB) of linear multivariable systems
4. Algebraic Riccati equations and matrix inequalities
5. Exact disturbance decoupling via state and full information feedback
6. Almost disturbance decoupling via state and full information feedback
7. Exact input-decoupling filters
8. Almost input-decoupled filtering under white noise input
9. Almost input-decoupled filtering without statistical assumptions on input
10. Optimally (suboptimally) input-decoupling filtering under white noise input—H2 filtering
11. Optimally (suboptimally) input-decoupled filtering without statistical information on the input-H8 filtering
12. Generalized H2 suboptimally input-decoupled filtering
13. Generalized H8 suboptimally input-decoupled filtering
14. Fault detection, isolation, and estimation—exact or almost fault estimation
15. Fault detection, isolation, and estimation—optimal fault estimation

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