Stochastic Dynamics and Control (Enhanced Edition) Stochastic Dynamics and Control (Enhanced Edition)

Stochastic Dynamics and Control (Enhanced Edition‪)‬

    • $219.99
    • $219.99

Publisher 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.

· 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

GENRE
Science & Nature
RELEASED
2006
August 10
LANGUAGE
EN
English
LENGTH
426
Pages
PUBLISHER
Elsevier Science
SELLER
Elsevier Ltd.
SIZE
12.1
MB
Statistical Inference for Piecewise-deterministic Markov Processes Statistical Inference for Piecewise-deterministic Markov Processes
2018
Stochastic Models in the Life Sciences and Their Methods of Analysis Stochastic Models in the Life Sciences and Their Methods of Analysis
2019
Spectral Methods for Uncertainty Quantification Spectral Methods for Uncertainty Quantification
2010
Stochastic Methods for Modeling and Predicting Complex Dynamical Systems Stochastic Methods for Modeling and Predicting Complex Dynamical Systems
2023
Applied Stochastic Differential Equations Applied Stochastic Differential Equations
2019
Introduction to Mathematical Systems Theory Introduction to Mathematical Systems Theory
2006