Filtering theory : with applications to fault detection, isolation, and estimation

Chapter 1 Introduction

Chapter 2 Preliminaries

Chapter 3 A special coordinate basis (SCB) of linear multivariable systems

Chapter 4 Algebraic Riccati equations and matrix inequalities

Chapter 5 Exact disturbance decoupling via state and full information feedback

Chapter 6 Almost disturbance decoupling via state and full information feedback

Chapter 8 Almost input-decoupled filtering under white noise input

Chapter 9 Almost input-decoupled filtering without statistical assumptions on input

Chapter 10 Optimally (suboptimally) input-decoupling filtering under white noise input— H 2 filtering

Chapter 11 Optimally (suboptimally) input-decoupled filtering without statistical information on the input- H ∞ filtering

Chapter 12 Generalized H 2 suboptimally input-decoupled filtering

Chapter 13 Generalized H ∞ suboptimally input-decoupled filtering

Chapter 14 Fault detection, isolation, and estimation—exact or almost fault estimation

Chapter 15 Fault detection, isolation, and estimation—optimal fault estimation