Journal ArticleDOI
Frequency domain system identification using arbitrary signals
TLDR
This paper shows that it is possible to deal with nonperiodic signals without any approximation and under the same assumptions as in the time domain, by estimating simultaneously some initial conditions and the system model parameters.Abstract:
It is the common conviction that frequency domain system identification suffers from the drawback that it cannot handle arbitrary signals without introducing systematic errors. This paper shows that it is possible to deal with nonperiodic signals without any approximation and under the same assumptions as in the time domain, by estimating simultaneously some initial conditions and the system model parameters.read more
Citations
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Journal ArticleDOI
System Identification Methods for (Operational) Modal Analysis: Review and Comparison
TL;DR: In this article, the authors extensively review operational modal analysis approaches and related system identification methods and compare them in an extensive Monte Carlo simulation study, and then compare the results with the results obtained in an experimental setting.
Journal ArticleDOI
Estimation of nonparametric noise and FRF models for multivariable systems—Part I: Theory
TL;DR: A detailed comparison with the classical spectral analysis based on correlation techniques shows that the proposed procedures are more robust than those of Schoukens et al.
Journal ArticleDOI
Identification of linear systems with nonlinear distortions
TL;DR: In this article, the impact of nonlinear distortions on linear system identification was studied and a theoretical framework was proposed that extends the linear system description to include nonlinear distortion: the nonlinear system is replaced by a linear model plus a nonlinear noise source.
Identification of Linear Systems with Nonlinear Distortions
TL;DR: A theoretical framework is proposed that extends the linear system description to include the impact of nonlinear distortions: the nonlinear system is replaced by a linear model plus a 'nonlinear noise source'.
Journal ArticleDOI
Basics of broadband impedance spectroscopy measurements using periodic excitations
TL;DR: In this paper, a review of the major advantages and pitfalls of four different periodic broadband excitations suitable to be used in EIS applications is presented, and the signal processing tools to objectively evaluate the quality of the impedance spectrum are described.
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
Time Series: Data Analysis and Theory
TL;DR: This book will be most useful to applied mathematicians, communication engineers, signal processors, statisticians, and time series researchers, both applied and theoretical.
The fast Fourier Transform
TL;DR: A computer algorithm that computes the discrete Fourier transform much faster than other algorithms, is explained and examples and detailed procedures are provided to assist the reader in learning how to use the algorithm.
Journal ArticleDOI
Parametric identification of transfer functions in the frequency domain-a survey
TL;DR: This paper gives a survey of frequency domain identification methods for rational transfer functions in the Laplace (s) or z-domain through a study of the (equivalent) cost functions.