Journal ArticleDOI
Reference-based stochastic subspace identification for output-only modal analysis
Bart Peeters,Guido De Roeck +1 more
TLDR
In this paper, a novel approach of stochastic subspace identification is presented that incorporates the idea of the reference sensors already in the identification step: the row space of future outputs is projected into the rowspace of past reference outputs.About:
This article is published in Mechanical Systems and Signal Processing.The article was published on 1999-11-01. It has received 1236 citations till now. The article focuses on the topics: Operational Modal Analysis & Subspace topology.read more
Citations
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Proceedings ArticleDOI
Stochastic theory of minimal realization
James Clary,Kwang Y. Lee +1 more
TL;DR: It is shown that the coefficient matrices of the stochastic system representation constitute a solution to the minimal realization problem for the deterministic system with given impulse response matrix.
Journal ArticleDOI
System Identification of Alfred Zampa Memorial Bridge Using Dynamic Field Test Data
TL;DR: In this paper, a benchmark study on modal identification of the AZMB is performed using three different state-of-the-art system identification algorithms based on ambient as well as forced vibration measurements.
Journal ArticleDOI
The influence of environmental parameters on the dynamic behaviour of the San Frediano bell tower in Lucca
Riccardo Mario Azzara,Guido De Roeck,Maria Girardi,Cristina Padovani,Daniele Pellegrini,Edwin Reynders +5 more
TL;DR: The results of a long-term ambient vibration monitoring of the San Frediano bell tower in Lucca (Italy) are reported in this paper, where some output-only models based on principal component analysis (PCA) were applied, under the hypotheses of both linear and nonlinear dependence of the natural frequencies on the unknown environmental parameters.
Journal ArticleDOI
Ambient and free vibration tests of the Millau Viaduct: Evaluation of alternative processing strategies
TL;DR: In this paper, the authors evaluated the efficiency and accuracy of alternative state-of-the-art processing strategies for identification of the modal parameters of the tested structure and compared the results obtained with the two testing approaches.
Journal ArticleDOI
Statistical Regularization for Identification of Structural Parameters and External Loadings Using State Space Models
TL;DR: A novel numerical approach is presented, in the time domain, to simultaneously identify structural parameters and unmeasured input loadings using incomplete output measurement only, and shows the robustness and the applicability of the proposed algorithm.
References
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Book
System Identification: Theory for the User
TL;DR: Das Buch behandelt die Systemidentifizierung in dem theoretischen Bereich, der direkte Auswirkungen auf Verstaendnis and praktische Anwendung der verschiedenen Verfahren zur IdentifIZierung hat.
Book
Modal Testing: Theory and Practice
TL;DR: A survey of the technology of modal testing, a new method for describing the vibration properties of a structure by constructing mathematical models based on test data rather than using conventional theoretical analysis.
Book
Subspace Identification for Linear Systems: Theory - Implementation - Applications
Peter Van Overschee,Bart De Moor +1 more
TL;DR: This book focuses on the theory, implementation and applications of subspace identification algorithms for linear time-invariant finitedimensional dynamical systems, which allow for a fast, straightforward and accurate determination of linear multivariable models from measured inputoutput data.
Book
Applied system identification
TL;DR: In this paper, the authors introduce the concept of Frequency Domain System ID (FDSI) and Frequency Response Functions (FRF) for time-domain models, as well as Frequency-Domain Models with Random Variables and Kalman Filter.
Effective construction of linear state-variable models from input/output functions.
B. L. Ho,R. E. Kalman +1 more
TL;DR: Markov parametric algorithm for effective construction of minimal realizations of linear state-variable finite-dimensional dynamical systems from input-output data is presented in this article, where a Markov-parametric algorithm is used to construct the minimal realization.
Related Papers (5)
Subspace Identification for Linear Systems: Theory - Implementation - Applications
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