Filtering Theory

With Applications to Fault Detection, Isolation, and Estimation

Editors:

ISBN: 978-0-8176-4301-0 (Print) 978-0-8176-4564-9 (Online)

Table of contents (15 chapters)

  1. Front Matter

    Pages i-xiv

  2. No Access

    Book Chapter

    Pages 1-8

    Introduction

  3. No Access

    Book Chapter

    Pages 9-25

    Preliminaries

  4. No Access

    Book Chapter

    Pages 27-52

    A special coordinate basis (SCB) of linear multivariable systems

  5. No Access

    Book Chapter

    Pages 53-190

    Algebraic Riccati equations and matrix inequalities

  6. No Access

    Book Chapter

    Pages 191-227

    Exact disturbance decoupling via state and full information feedback

  7. No Access

    Book Chapter

    Pages 229-291

    Almost disturbance decoupling via state and full information feedback

  8. No Access

    Book Chapter

    Pages 293-345

    Exact input-decoupling filters

  9. No Access

    Book Chapter

    Pages 347-381

    Almost input-decoupled filtering under white noise input

  10. No Access

    Book Chapter

    Pages 383-409

    Almost input-decoupled filtering without statistical assumptions on input

  11. No Access

    Book Chapter

    Pages 417-549

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

  12. No Access

    Book Chapter

    Pages 551-640

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

  13. No Access

    Book Chapter

    Pages 641-669

    Generalized H 2 suboptimally input-decoupled filtering

  14. No Access

    Book Chapter

    Pages 671-687

    Generalized H suboptimally input-decoupled filtering

  15. No Access

    Book Chapter

    Pages 689-696

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

  16. No Access

    Book Chapter

    Pages 697-712

    Fault detection, isolation, and estimation—optimal fault estimation

  17. Back Matter

    Pages 713-723