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2 edition of Stochastic dynamics and reliability of nonlinear ocean systems found in the catalog.

Stochastic dynamics and reliability of nonlinear ocean systems

Stochastic dynamics and reliability of nonlinear ocean systems

presented at 1994 International Mechanical Engineering Congress and Exposition, Chicago, Illinois, November 6-11, 1994

by

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Published by American Society of Mechanical Engineers in New York .
Written in English

    Subjects:
  • Offshore structures -- Hydrodynamics -- Congresses.,
  • Ships -- Hydrodynamics -- Congresses.,
  • Ocean waves -- Congresses.,
  • Stochastic processes -- Congresses.,
  • Dynamics -- Congresses.,
  • Nonlinear oscillations -- Congresses.

  • Edition Notes

    Includes bibliographical references and index.

    Statementsponsored by the Design Engineering Division, ASME ; edited by R.A. Ibrahim, Y.K. Lin.
    SeriesDE ;, vol. 77, DE (Series) (American Society of Mechanical Engineers. Design Engineering Division) ;, v. 77.
    ContributionsIbrahim, R. A., 1940-, Lin, Y. K. 1923-, American Society of Mechanical Engineers. Design Engineering Division., International Mechanical Engineering Congress and Exposition (1994 : Chicago, Ill.)
    Classifications
    LC ClassificationsTC1665 .S758 1994
    The Physical Object
    Paginationv, 119 p. :
    Number of Pages119
    ID Numbers
    Open LibraryOL1132172M
    ISBN 10079181436X
    LC Control Number94079145
    OCLC/WorldCa31873885

    Analysing nonlinear dynamic stochastic models 33 appears frequently in text books such as Obstfeld and Rogoff (, pp. ). Nonetheless, the technique often seems to create more headaches than it should. It may be useful for the purposes of this chapter to review how it is done. Section simplifies the approach of Campbell (). An adaptive neural output feedback control scheme is investigated for a class of stochastic nonlinear systems with unmodeled dynamics and unmeasured states. The unmeasured states are estimated by K-filters, and unmodeled dynamics is dealt with by introducing a novel description based on Lyapunov function. The neural networks weight vector used to approximate the black box function is adjusted Cited by: 2. Dynamics (EURODYN ), held in Porto, Portugal, in June– July , the ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems decided to publish a special issue to highlight some of the recent advancements in the fields of stochastic dynam-ics and reliability analysis of structural systems subject to random environmental excitations. Abstract. In many engineering applications, it is a formidable task to construct mathematical models that are expected to produce accurate predictions of the behavior of a system.


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Stochastic dynamics and reliability of nonlinear ocean systems Download PDF EPUB FB2

Get this from a library. Stochastic dynamics and reliability of nonlinear ocean systems: presented at International Mechanical Engineering Congress and Exposition, Chicago, Illinois, November[R A Ibrahim; Y K Lin; American Society of Mechanical Engineers.

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In Stochastic Dynamics of Structures, Li and Chen present a Stochastic dynamics and reliability of nonlinear ocean systems book view of the theory and techniques for stochastic dynamics analysis, prediction of reliability, and system control of structures within the innovative theoretical framework of physical stochastic authors outline the fundamental concepts of random variables, stochastic process and random field, and orthogonal Price: $ Stochastic Optimal Control of Nonlinear Systems: Classical Theory Linear Quadratic Gaussian Control Probability Density Evolution Analysis of Stochastic Optimal Control Systems Reliability-Based Control of Structural Systems.

In Stochastic Dynamics of Structures, Li and Chen present a unified view of the theory and techniques for stochastic dynamics analysis, prediction of reliability, and system control of structures within the innovative theoretical framework of physical stochastic authors outline the fundamental concepts of random variables, stochastic process and random field, and orthogonal.

In Stochastic Dynamics of Structures, Li and Chen present a unified view of the theory and techniques for stochastic dynamics analysis, prediction of reliability, and system control of structures within the innovative theoretical framework of physical stochastic authors outline the fundamental concepts of random variables, stochastic process and random field, and orthogonal.

Stochastic Dynamics of Marine Structures is a text for students and a reference for professionals on the basic theory and methods used for stochastic modelling and analysis of marine structures subjected to environmental by: Purchase Stochastic Dynamics and Control, Volume 4 - 1st Edition.

Print Book & E-Book. ISBNDescription In Stochastic Dynamics of Structures, Li and Chen present a unified view of the theory and techniques for stochastic dynamics analysis, prediction of reliability, and system control of structures within the innovative theoretical framework of physical stochastic authors outline the fundamental concepts of random variables, stochastic process and random field, and.

Book Description. Engineering systems have played a crucial role in stimulating many of the modern developments in nonlinear and stochastic dynamics. After 20 years of rapid progress in these areas, this book provides an overview of the current state of nonlinear modeling and analysis for mechanical and structural systems.

Purchase Dynamics of Stochastic Systems - 1st Edition. Print Book & E-Book. ISBNNonlinear Dynamics provides a forum for the rapid publication of original research in the field.

The journal’s scope encompasses all nonlinear dynamic phenomena associated with mechanical, structural, civil, aeronautical, ocean, electrical, and control systems. Review articles and original contributions are based on analytical, computational.

This book is a complete treatise on the theory of nonlinear dynamics of chaotic and stochastic systems. It contains both an exhaustive introduction to the subject as well as a detailed discussion of fundamental problems and research results in a field to which the authors have.

Stochastic Dynamics of Structures to estimate the dynamic reliability of a stochastic system. Moment equation method is commonly used in the analysis of nonlinear stochastic systems.

A new approach to evaluate the extreme value distribution (EVD) of the response and reliability of general multi-DOF nonlinear stochastic structures is proposed. The approach is based on the recently developed probability density evolution method, which enables the instantaneous probability density functions of the stochastic responses to be by: 4.

Coupled Nonlinear Barge Motions, Part II: Stochastic Models and Stability Analysis and Lin, Y. K.,“Ship Rolling in Random Sea,” Stochastic Dynamics and Reliability of Nonlinear Ocean Systems, ASME DE-Vol. 77, pp. 81– Chakrabarti, S.

K., Marginal Instability and Intermittency in Stochastic Systems—Part II Cited by: 3. This book will help scientists study stochastic nonlinear equations and help engineers design for short term survivability of structures in storms and long life in the face of everyday fatigue.

Contents: Preface (M F Shlesinger & T Swean) Stabilization and Stochastic Bifurcation with Application to Nonlinear Ocean Structures (R A Ibrahim).

The book consists of 21 chapters which can be grouped into several thematic topics including dynamic analysis of stochastic systems, reliability-based design, structural control and health monitoring, model updating, system identification, wave propagation in random.

NONLINEAR RESPONSE AND STABILITY ANALYSIS OF VESSEL ROLLING MOTION IN RANDOM WAVES USING STOCHASTIC DYNAMICAL SYSTEMS A Dissertation by ZHIYONG SU Submitted to the Office of Graduate Studies of Texas A&M University in partial fulfillment of the requirements for the degree of DOCTOR OF PHILOSOPHY August Major Subject: Ocean Engineering.

Engineering systems have played a crucial role in stimulating many of the modern developments in nonlinear and stochastic dynamics. After 20 years of rapid progress in these areas, this book provides an overview of the current state of nonlinear modeling and analysis for mechanical and structural : CRC Press.

† modeling the price dynamics of oil, as a special commodity, † determining option prices and optimal hedging strategies for commodities like oil. In many economic and financial processes mathematical modeling leads to nonlinear and stochastic dynamical systems.

The interplay of stochastic and nonlinear effects is impor-tant under many File Size: 3MB. the control of nonlinear stochastic systems and thus there is concern about the ability of the controller to adequately regulate the system.

An alternative approach to cope with such systems is to avoid the need to build the traditional “open-loop” model for the system. Through the avoidance of model. ISBN: OCLC Number: Description: xii, pages: illustrations ; 23 cm: Contents: Preface, M.F. Shlesinger, T.

Swean; Stabilization of stochastic bifurcation with application to nonlinear ocean structures, R.A. Ibrahim; Controlling chaos in temporally varying environments and applications to engineering systems, M-Z Ding; Modelling of nonlinear ocean.

Stochastic Dynamics and Reliability of Nonlinear Ocean Systems (DE) American Society of Mechanical Engineers (ASME) Digital Communications Using Chaos and Nonlinear Dynamics (Institute for Nonlinear Science) by Jia-Ming Liu,Lev S.

Tsimring. Partly in parallel with the development of chaos theory, there has been a substantial effort directed toward developing tools for the analysis of nonlinear stochastic dynamics, which deals with the response of nonlinear dynamic systems to stochastic excitation.

This points to the fundamental difference between these two areas of by: Recent Results in Random Vibrations of Nonlinear Mechanical Systems R. Ibrahim. Stochastic Dynamics of Nonlinear Systems Driven by Non-Normal Delta-Correlated Processes Hammel, S.

M., and Platt, N.,“From Intermittency to Stability Extended Turbulence,” ONR Workshop on Reliability and Nonlinear Vibration of Ocean Systems Cited by: 8.

Book Description. In this book, control and filtering problems for several classes of stochastic networked systems are discussed. In each chapter, the stability, robustness, reliability, consensus performance, and/or disturbance attenuation levels are investigated within a unified theoretical framework.

Introduction. The past decades have seen great development of stochastic dynamics in science and different engineering disciplines, particularly in aerospace, mechanical, civil, marine and offshore engineering, not only in modeling of stochastic excitations but also in the analysis theory of stochastic dynamical the stochastic dynamics is revisited from the above two Cited by: A practical and accessible introduction to numerical methods for stochastic differential equations is given.

The reader is assumed to be familiar with Euler's method for deterministic differential equations and to have at least an intuitive feel for the concept of a random variable; however, no knowledge of advanced probability theory or stochastic processes is by: This paper investigates the stability of a class of stochastic nonlinear systems with Markovian switching via output-feedback.

Based on the backstepping design method and homogeneous domination technique, an output-feedback controller is constructed to guarantee that the closed-loop system has a unique solution and is almost surely asymptotically : Xiaohua Liu, Wuquan Li.

This book consists of more than contributions by engineers, mathematicians and other professionals. It encompasses all major aspects of structural dynamics by addressing new developments as well as practical and novel applications of dynamical principles to all types of structural and mechanical systems in particular areas such as ambient vibrations, offshore engineering, experimental.

In many engineering applications, it is a formidable task to construct mathematical models that are expected to produce accurate predictions of the behavior of a system of interest. During the construction of such predictive models, errors due to imperfect modeling and uncertainties due to incomplete information about the system and its environment (e.g., input or excitation) always exist and Cited by: 4.

Nonlinear Dynamics in Engineering Systems, () Necessary and sufficient conditions for existence of stationary solutions of some nonlinear stochastic systems. Nonlinear DynamicsCited by:   A unified nonlinear stochastic time series analysis for climate science from observations and to thereby generate consistent stochastic dynamics of subsystems both systems possess two Cited by: 9.

problems indicate how the reliability of deteriorating stochastic dynamical systems can be assessed. Key words: stochastic dynamics, fatigue induced stiffness degradation, hysteretic systems, systems with varying/random structure.

Introduction In the last decades the response of linear and non-linear dy-namical systems to random excitation Cited by: 3. With the increase of their size, the safety and serviceability of offshore wind turbines become increasingly important. Generally, evaluation of the global reliability of such systems - which involves high-dimensional, nonlinear.

stochastic dynamics - is still a great challenge. “A Time-Domain Reliability Assessment Technique for nonlinear Structures,” Advances in Stochastic Structural Dynamics, Proceedings of the 5 th International Conference on Stochastic Structural Dynamics – SSD03, Edited by W.Q.

Zhu, G.Q. Cai, and R.C. Zhang. The purpose is to introduce readers to basic principles of stochastic methods of structural mechanics, particularly to those of dynamics. For those readers who wish to pursue the study further, the references provided in each chapter will serve as a useful source of information.Contents of the Book 5 2 Stochastic Processes and Random Fields 7 Random Variables 7 Introduction 7 Operations with Random Variables 8 Random Vectors 12 Decomposition of Correlation Matrix 16 Stochastic Processes 17 Specification of Stochastic Processes 17 Moment Functions of a Stochastic Process Stochastic Control of Sensitive Nonlinear Motions of an Ocean Mooring System Complex sensitive motions have been observed in ocean mooring systems consisting of nonlinear mooring geometries.

These physical systems can be modeled as a system of first-order nonlinear ordinary differential equations, taking into account geometric non.