Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
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 …
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 …
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
This series of two papers presents a method for estimating nonparametric noise and
frequency response function models of multivariable linear dynamic systems excited by …
frequency response function models of multivariable linear dynamic systems excited by …
Identification of linear systems with nonlinear distortions
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 …
collects a number of previously published methods in a fully integrated approach to measure …
Basics of broadband impedance spectroscopy measurements using periodic excitations
Measuring the impedance frequency response of systems by means of frequency sweep
electrical impedance spectroscopy (EIS) takes time. An alternative based on broadband …
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 …
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 …
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 …
impulse response (IR) function measurements of linear dynamic systems. These …
Data-driven iterative inversion-based control: Achieving robustness through nonlinear learning
Learning from past data enables substantial performance improvement for systems that
perform repeating tasks. Achieving high accuracy and fast convergence in the presence of …
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
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 …
context of system identification, this paper proposes a Transfer Function estimator, based on …