Stochastic Dynamics and Control - 1st Edition - ISBN: 9780444522306, 9780080463988

Stochastic Dynamics and Control, Volume 4

1st Edition

Authors: Jian-Qiao Sun
eBook ISBN: 9780080463988
Hardcover ISBN: 9780444522306
Imprint: Elsevier Science
Published Date: 10th August 2006
Page Count: 426
Tax/VAT will be calculated at check-out Price includes VAT (GST)
195.00
170.00
215.00
135.00
Unavailable
Price includes VAT (GST)
DRM-Free

Easy - Download and start reading immediately. There’s no activation process to access eBooks; all eBooks are fully searchable, and enabled for copying, pasting, and printing.

Flexible - Read on multiple operating systems and devices. Easily read eBooks on smart phones, computers, or any eBook readers, including Kindle.

Open - Buy once, receive and download all available eBook formats, including PDF, EPUB, and Mobi (for Kindle).

Institutional Access

Secure Checkout

Personal information is secured with SSL technology.

Free Shipping

Free global shipping
No minimum order.

Table of Contents

Preface

  1. Introduction
  2. Probability Theory
  3. Stochastic Processes
  4. Spectral Analysis of Stochastic Processes
  5. Stochastic Calculus
  6. Fokker-Planck-Kologorov Equation
  7. Kolmogorov Backward Equation
  8. Random Vibration of SDOF Systems
  9. Random Vibration of MDOF Discrete Systems
  10. Random Vibration of Continuous Structures
  11. Structural Reliability
  12. Monte Carlo Simulation
  13. Elements of Feedback Controls
  14. Feedback Control of Stochastic Systems
  15. Concepts of Optimal Controls
  16. Stochastic Optimal Control with the GCM Method
  17. Sliding Mode Control
  18. Control of Stochastic Systems with Time Delay
  19. Probability Density Function Control A. Matrix Computation B. Laplace Transformation Bibliography Index

Description

This book is a result of many years of author’s research and teaching on random vibration and control. It was used as lecture notes for a graduate course. It provides a systematic review of theory of probability, stochastic processes, and stochastic calculus. The feedback control is also reviewed in the book. Random vibration analyses of SDOF, MDOF and continuous structural systems are presented in a pedagogical order. The application of the random vibration theory to reliability and fatigue analysis is also discussed. Recent research results on fatigue analysis of non-Gaussian stress processes are also presented. Classical feedback control, active damping, covariance control, optimal control, sliding control of stochastic systems, feedback control of stochastic time-delayed systems, and probability density tracking control are studied. Many control results are new in the literature and included in this book for the first time. The book serves as a reference to the engineers who design and maintain structures subject to harsh random excitations including earthquakes, sea waves, wind gusts, and aerodynamic forces, and would like to reduce the damages of structural systems due to random excitations.

Key Features

· Comprehensive review of probability theory, and stochastic processes · Random vibrations · Structural reliability and fatigue, Non-Gaussian fatigue · Monte Carlo methods · Stochastic calculus and engineering applications · Stochastic feedback controls and optimal controls · Stochastic sliding mode controls · Feedback control of stochastic time-delayed systems · Probability density tracking control

Readership

Mechanical Engineers, Control Engineers, Civil Engineers and Naval Engineers.


Details

No. of pages:
426
Language:
English
Copyright:
© Elsevier Science 2006
Published:
Imprint:
Elsevier Science
eBook ISBN:
9780080463988
Hardcover ISBN:
9780444522306

About the Authors

Jian-Qiao Sun Author

Professor J. Q. Sun started working on random vibrations of nonlinear systems when he did his doctoral research at the University of California-Berkeley in 1980s. Since joining the faculty at the University of Delaware in 1994, he has successfully completed several research projects on analysis and control of stochastic systems.

Affiliations and Expertise

University of Delaware, Department of Mechanical Engineering, Newark, U.S.A.