3 edition of Uncertainty modeling in vibration, control and fuzzy analysis of structural systems found in the catalog.
Includes bibliographical references and indexes.
|Statement||editors, Bilal M. Ayyub, Ardéshir Guran, Achintya Haldar ; with a foreword by Lotfi Zadeh.|
|Series||Series on stability, vibration, and control of systems., v. 10|
|Contributions||Ayyub, Bilal M., Guran, A., Haldar, Achintya.|
|LC Classifications||TA654 .U53 1997|
|The Physical Object|
|Pagination||xxii, 356 p. :|
|Number of Pages||356|
|LC Control Number||97026414|
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Uncertainty Modeling in Vibration, Control and Fuzzy Analysis of Structural Systems (Stability, Vibration and Control of Control and fuzzy analysis of structural systems book, Series B) [Ayyub, Bilal M, Guran, Ardeshir, Haldar, Achintya] on *FREE* shipping on qualifying offers.
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This book gives an overview of the current state of uncertainty modeling in vibration, control, and fuzzy analysis of structural and mechanical systems.
It is a coherent compendium written by leading experts and offers the reader a sampling of exciting research areas in. This volume aims to give an overview of the state of uncertainty modelling in vibration, control and fuzzy analysis of structural and mechanical systems. The uncertainty present in many vibrating systems has been modeled in the past using several approaches such as probabilistic, fuzzy, interval, evidence, and grey system-based approaches depending on the nature of uncertainty present in the by: 6.
Uncertainty Modeling and Analysis in Engineering and the Sciences Bilal M. Ayyub, George J. Klir Engineers and scientists often need to solve complex problems with incomplete information resources, necessitating a proper treatment of uncertainty and a reliance on expert opinions.
Vibration Analysis of 2D Frame with Fuzzy Input Parameters structures in the presence of uncertainty in structural dynamic characteristics.
Three control In the case of active control systems, both an active tuned mass damper and active mass driver are installed on the top floor. In the case of semi-active systems, such as electric.
If the address matches an existing account you will receive an email with instructions to reset your password. In book: Uncertainty Modeling in Vibration, Control & Fuzzy Analysis of Structural Systems (pp) Chapter: 7; Publisher: World Scientific; Editors: Bilal M.
Ayyub, Ardeshir Guran, Achintya. Yong Bai, Wei-Liang Jin, in Marine Structural Design (Second Edition), Model Uncertainty. Model uncertainty is uncertainty due to imperfections and idealizations made in physical model formulations for load and resistance, as well as in the choices of probability distribution types for the representation of uncertainties.
With very few exceptions, it is often not possible to make highly. The active control system for structural vibration is extremely sensitive to the parametric uncertainty so that more and more concerns of. A fuzzy-based approach to comprehensive modeling and analysis of systems with epistemic uncertainties Structural Safety, Vol.
32, No. 6 A three-level non-deterministic modeling methodology for the NVH behavior of rubber connections. The analysis framework is illustrated in the figure below. A benchmark example structure is analyzed for demonstration. The original structure has 3, DOFs, and the corresponding order-reduced CMS model (built upon 3 substructures) has 8 DOFs.
Uncertainty is introduced into the analysis. Mathematics of Uncertainty Modeling in the Analysis of Engineering and Science Problems aims to provide the reader with basic concepts for soft computing and other methods for various means of uncertainty in handling solutions, analysis, and applications.
This book is an essential reference work for students, scholars, practitioners and. This book should provide essential concepts involving vibrational analysis, uncertainty modeling, and vibration control.
It should also give a good fundamental basis in computational results, mathematical modeling and assessment in performance of different systems and system components. Non-probabilistic interval process model and method for uncertainty analysis of transient heat transfer problem.
A finite element method for active vibration control of uncertain structures. Mechanical Systems and Signal Processing, Vol. 32 Response surface based fuzzy analysis of structural systems. In addition, for the first time, uncertainty theory is introduced to the analysis and optimization of driveline torsional vibration based on the DRCTVM.
A truncated normal distribution is used to describe the uncertainty of DRCTVM, which considers both the probability distribution and. Uncertainty Modeling In Vibration, Control And Fuzzy Analysis Of Structural Systems (Series on Stability, Vibration and Control of Systems, Band 10). The uncertainty is a typical feature of each human activity since the greatest part of the information is always affected by a sure level of scattering.
Different methodologies which deal with the uncertainty of the real problems exist. The principal aim of this paper is to present an innovative hybrid approach which combines fuzzy and stochastic theories in facing the structural analysis of a.
The basic concept of this method is to use a series expansion to model the relationship between the uncertainty of the input and output generalized polynomial chaos (gPC), one of the spectral stochastic methods, has already been applied in the modeling of uncertainty in various areas, such as structural dynamics , fluid.
In eleven chapters, leading experts present an overview of the current state of uncertainty modeling, analysis and design of large systems in four major areas: finite and boundary element methods (common structural analysis techniques), fatigue, stability analysis, and fault-tolerant systems.
The content of this book is unique; it describes. The control effects can be improved by the active control forces. Secondly, stability analysis and systematic design are certainly among the most important issues for active control systems.
The proposed T-S fuzzy model and PDC fuzzy control (based on Lyapunov functions) can easily ensure stabilization of TLP structures. Modeling and Simulation Techniques in Structural Engineering presents emerging research on computational techniques and applications within the field of structural engineering.
This timely publication features practical applications as well as new research insights and is ideally designed for use by engineers, IT professionals, researchers, and.
"Multi-attribute fuzzy control of construction activities.", The second International Symposium on Uncertainty Modeling and Analysis, ISUMA'93, pp. Hassan, M.H.M. and Ayyub, B.M. "Fuzzy-based safety control: A case study.", The sixth International Conference on Structural Safety and Reliability ICOSSAR' Mechanical Vibration addresses the principles and applications of vibration theory.
Equations for modeling vibrating systems are explained, and MATLAB is referenced as an analysis tool. The fourth edition adds more coverage of damping, new case studies, and details on the development of the control aspects in vibration analysis.
A MATLAB appendix has also been added to help students with. Using the convex model theory, the reliability-based analysis of frequency of the vibration control problem of structures with Interval parameters is discussed. Based on the theory of perturbation method, reliability analysis, and PNET method, the method of reliability-based analysis of eigenvalues of closed-loop vibration control systems with uncertain parameters is studied.
This article proposes a design method for producing H ∞ control performance for structural systems using the Tagagi-Sugeno (T-S) fuzzy model. A structural system with a tuned mass damper is modeled using a T-S type fuzzy model.
Using the parallel distributed compensation (PDC) scheme, we design a nonlinear fuzzy controller for the tuned mass damper system. Actuators constitute an important component of successfully accomplishing vibration control in addition to parametric estimation on vibrating engineering systems.
This Special Issue aims to present recent and innovative contributions on vibration analysis, system identification, estimation of parameters and signals, and diverse control methods. A special methodology based on fuzzy arithmetic is applied to analyze and to quantify the effects of control and observer spillover, induced by uncertainties in an active structural control system.
In this concept, piezoelectric patches are attached to the structure for the purpose of reducing undesirable vibrations by active actuation under closed-loop control.
"Application of MR Damper in Structural Control Using Genetic Algorithm and Fuzzy Logic PID Tuning Methods." Proceedings of the ASME International Design Engineering Technical Conferences and Computers and Information in Engineering Conference.
Volume 1: 21st Biennial Conference on Mechanical Vibration and Noise, Parts A, B, and C. Las. In the structural vibration control, the object often has time-varying and non-linear characteristics, and its exact model is difficult to establish.
Due to lack the ability of learning and regulating online, traditional fuzzy control using fuzzy reasoning also has obvious limitations. Adaptive fuzzy control method based on variable universe has advantages such as no need for exact models. Chen C-W () Fuzzy control of interconnected structural systems using the fuzzy Lyapunov method Journal of Vibration and Control 17 (11): Epub ahead of print 23 November doi: / The Proceedings presents ninety two high quality papers which address issues of uncertainty encompassing various fields of engineering, i.e.
uncertainty analysis and modelling, structural reliability, geotechnical engineering, vibration control, earthquake engineering, environmental engineering, stochastic dynamics, transportation system.
AbstractMagnetorheological (MR) dampers provide a viable alternative for vibration control of structures subjected to external excitations. Realistic modeling of MR dampers is critical for control.
This page examines probabilistic vs. deterministic models -- the modeling of uncertainty in models and sensors. This is part of the section on Model Based Reasoning that is part of the white paper A Guide to Fault Detection and Diagnosis. Diagnostic systems inherently make assumptions on uncertainty.
8 H ∞ fuzzy control of suspension systems with actuator saturation + Show details-Hide details; p. – (52) This chapter focuses on H ∞, fuzzy control of suspension systems under actuator saturation.
The Takagi-Sugeno (T-S) approach is used to model the suspension system (quarter, half and full cars) by interpolation of different. This paper presents the procedure used for design, fabrication, testing, and numerical modeling of a magnetorheological (MR) damper that is to be applied for vibration control in a ton railcar.
MR dampers are semiactive vibration control devices whose damping characteristics can be modified in real time by varying an applied current. Hassan, M.H.M. and Ayyub, B.M.,“A general identification framework for structural systems,” The joint Third International Symposium on Uncertainty Modeling and Analysis, ISUMA’95 and Annual Conference of the North American Fuzzy Information Processing Society, NAFIPS’95, pp.
–  M. Hanss, The Transformation Method for the simulation and analysis of systems with uncertain parameters, Fuzzy Sets and Systemspp, (). DOI: /s(02)  S.
Donders, D. Vandepitte, J. Van de Peer, W. Desmet, Assessment of Uncertainty on Structural Dynamic Responses with the Short TM, J. Sound Vib Vibration, an international, peer-reviewed Open Access journal.
Digital Mining Center, Faculty of Geoengineering, Mining and Geology, Wroclaw University of. Journal of Vibration and Control- El-Khoury, O.; Shafieezadeh, A.,"A stochastic averaging-based optimal control method for nonlinear systems: Application to a building with soil-structure interactions." ENGINEERING STRUCTURES- handling uncertainty and networked structure in robot control studies in systems decision and control Posted By Louis L Amour Ltd TEXT ID bd Online PDF Ebook Epub Library structure in robot control studies in systems decision and control amazones lucian busoniu levente tamas libros en idiomas extranjeros amazonin buy handling uncertainty.Zhou, K., and Tang, J., “ Uncertainty quantification in structural dynamic analysis using two-level Gaussian processes and Bayesian inference,” Journal of Sound and Vibration, V(6), pp,