Journal ArticleDOI
Structural-System Identification. I: Theory
Roger Ghanem,Masanobu Shinozuka +1 more
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TLDR
In this article, a number of structural-identification algorithms are reviewed and applied to the identification of structural systems subjected to earthquake excitations, and the performance of the various identification algorithms is critically assessed, and guidelines are obtained regarding their suitability to various engineeri...Abstract:
The investigation reported in this paper looks into the application of a number of system-identification techniques to problems of earthquake engineering. A number of techniques for structural-system identification have been developed over the past few years. Many of these techniques have been successful at identifying properties of linearized and time-invariant equivalent structural systems. Most of these techniques were verified using mathematical models simulated on the computer. In this paper, a number of structural-identification algorithms are reviewed and applied to the identification of structural systems subjected to earthquake excitations. The algorithms are applied to experimental data obtained in controlled laboratory conditions. The data pertain to the acceleration records from two building models subjected to various loading conditions. The performance of the various identification algorithms is critically assessed, and guidelines are obtained regarding their suitability to various engineeri...read more
Citations
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Journal ArticleDOI
Dynamic Fuzzy Wavelet Neural Network Model for Structural System Identification
Hojjat Adeli,Xiaomo Jiang +1 more
TL;DR: A new dynamic time-delay fuzzy wavelet neural network model is presented for nonparametric identification of structures using the nonlinear autoregressive moving average with exogenous inputs approach and incorporates the imprecision existing in the sensor data effectively.
Journal ArticleDOI
An adaptive extended Kalman filter for structural damage identification
TL;DR: In this paper, an adaptive tracking technique based on the extended Kalman filter approach is proposed to identify the structural parameters and their changes when vibration data involve damage events, which is capable of tracking the changes of system parameters from which the event and severity of structural damage may be detected on-line.
Journal ArticleDOI
Application of the unscented Kalman filter for real-time nonlinear structural system identification
Meiliang Wu,Andrew W. Smyth +1 more
TL;DR: In this article, the unscented Kalman filter (UKF) is applied for nonlinear structural system identification and compared to the EKF and unscenting Kalman filters.
Journal ArticleDOI
Substructural identification using neural networks
Chung Bang Yun,Eun Young Bahng +1 more
TL;DR: This study presents a method for estimating the stiffness parameters of a complex structural system by using a backpropagation neural network to overcome the issues associated with many unknown parameters in a large structural system.
Journal ArticleDOI
Bayesian State and Parameter Estimation of Uncertain Dynamical Systems
TL;DR: In this paper, the particle filter is applied to highly nonlinear models with non-Gaussian uncertainties and compared with the extended Kalman filter for Bayesian state and parameter estimation.
References
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Stochastic Processes and Filtering Theory
TL;DR: In this paper, a unified treatment of linear and nonlinear filtering theory for engineers is presented, with sufficient emphasis on applications to enable the reader to use the theory for engineering problems.
Journal ArticleDOI
New Results in Linear Filtering and Prediction Theory
R. E. Kalman,R. S. Bucy +1 more
TL;DR: The Duality Principle relating stochastic estimation and deterministic control problems plays an important role in the proof of theoretical results and properties of the variance equation are of great interest in the theory of adaptive systems.
Journal ArticleDOI
Modelling nonlinear random vibrations using an amplitude-dependent autoregressive time series model
TL;DR: In this paper, a discrete time series model is introduced, which may be demonstrated to have properties similar to those of nonlinear random vibrations, and the model is fitted to the Canadian lynx data and demonstrates that it may be possible to regard the periodic behaviour of this series as being generated by some underlying self-exciting mechanism.
Book
Recursive Estimation and Time-Series Analysis: An Introduction for the Student and Practitioner
TL;DR: The CAPTAIN Toolbox for recursive estimation and time series analysis has been developed at Lancaster, for use in the MatlabTM software environment (see Appendix G). Consequently, the present version of the book is able to exploit the many computational routines that are contained in this widely available Toolbox, as well as some of the other routines in Matlab TM and its other toolboxes.