Kalman Filter Method In The Analysis Of Vibrations Due To Water Waves
eBook - PDF

Kalman Filter Method In The Analysis Of Vibrations Due To Water Waves

  1. 184 pages
  2. English
  3. PDF
  4. Available on iOS & Android
eBook - PDF

Kalman Filter Method In The Analysis Of Vibrations Due To Water Waves

About this book

The central theme of this book is the application of the linear filtering theory to the vibration of structures in a fluid. Emphasis is placed on the mathematical models which, in the theory of systems, characterize the state of a dynamic system. The mathematical models are in the form of linear Ito stochastic differential equations. Discretization of the models, which leads to straightforward computer applications, is also discussed. The book also presents an approach to nonlinear problems based on the expansion of random functions in a series. To elucidate the proposed approach, examples on the application of Kalman filters, which refer to the vibrations of cylinders in waves, are cited. This provides a practical orientation to complement the proposed theory and contributes to a clearer and deeper understanding of the subject matter.

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Yes, you can access Kalman Filter Method In The Analysis Of Vibrations Due To Water Waves by Andrzej Kozakiewicz, Piotr Wilde in PDF and/or ePUB format, as well as other popular books in Biological Sciences & Science General. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Contents
  2. Preface
  3. Chapter 1 Introduction
  4. Chapter 2 Mathematical models for random functions without dominant frequencies
  5. Chapter 3 Mathematical models for random functions with a dominant frequency
  6. Chapter 4 Expansion in a series of random functions with multiple dominant frequencies
  7. Chapter 5 Properties of a dynamic system
  8. Chapter 6 Free vibrations of structures in a fluid
  9. Chapter 7 Vibrations of structures due to water waves
  10. Chapter 8 Nonlinear problems of vibrations
  11. Appendix A Stochastic processes - definitions
  12. Appendix B Brownian motion process, Markov process, Wiener and Itô integrals
  13. Appendix C Stochastic difference equations
  14. Appendix D Itô stochastic differential equation
  15. Appendix E Stochastic differential equation for stationary processes
  16. Appendix F Kalman filters
  17. Bibliography
  18. Index