System identification methods for (operational) modal analysis: review and comparison

E Reynders - Archives of Computational Methods in Engineering, 2012 - Springer
Operational modal analysis deals with the estimation of modal parameters from vibration
data obtained in operational rather than laboratory conditions. This paper extensively …

[PDF][PDF] Frequency-domain system identification for modal analysis

P Verboven - Vrije Universiteit Brussel, Brussels, 2002 - Citeseer
Experimental modal analysis has become a commonly-used technique for studying the
dynamical behaviour of mechanical and civil structures, such as for example cars, aircrafts …

Estimation of nonparametric noise and FRF models for multivariable systems—Part I: Theory

R Pintelon, J Schoukens, G Vandersteen… - Mechanical Systems and …, 2010 - Elsevier
This series of two papers presents a method for estimating nonparametric noise and
frequency response function models of multivariable linear dynamic systems excited by …

Identification of linear systems with nonlinear distortions

J Schoukens, R Pintelon, T Dobrowiecki, Y Rolain - Automatica, 2005 - Elsevier
This paper studies the impact of nonlinear distortions on linear system identification. It
collects a number of previously published methods in a fully integrated approach to measure …

Basics of broadband impedance spectroscopy measurements using periodic excitations

B Sanchez, G Vandersteen, R Bragos… - Measurement …, 2012 - iopscience.iop.org
Measuring the impedance frequency response of systems by means of frequency sweep
electrical impedance spectroscopy (EIS) takes time. An alternative based on broadband …

[BUKU][B] Mastering system identification in 100 exercises

J Schoukens, R Pintelon, Y Rolain - 2012 - books.google.com
This book enables readers to understand system identification and linear system modeling
through 100 practical exercises without requiring complex theoretical knowledge. The …

State of the art in linear system identification: Time and frequency domain methods

L Ljung - Proceedings of the 2004 American Control …, 2004 - ieeexplore.ieee.org
Identification of time-invariant linear dynamic systems is a mature subject. In this contribution
we focus on the interplay between methods that use time and frequency domain data …

Nonparametric data-driven modeling of linear systems: Estimating the frequency response and impulse response function

J Schoukens, K Godfrey… - IEEE Control Systems …, 2018 - ieeexplore.ieee.org
The aim of this article is to give a tutorial overview of frequency response function (FRF) or
impulse response (IR) function measurements of linear dynamic systems. These …

Data-driven iterative inversion-based control: Achieving robustness through nonlinear learning

R de Rozario, T Oomen - Automatica, 2019 - Elsevier
Learning from past data enables substantial performance improvement for systems that
perform repeating tasks. Achieving high accuracy and fast convergence in the presence of …

Transfer function and transient estimation by Gaussian process regression in the frequency domain

J Lataire, T Chen - Automatica, 2016 - Elsevier
Inspired by the recent promising developments of Bayesian learning techniques in the
context of system identification, this paper proposes a Transfer Function estimator, based on …