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Bibliografie tematiche / Random-multisine

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Articoli di riviste

Letteratura scientifica selezionata sul tema "Random-multisine"

Autore: Grafiati

Pubblicato: 1 aprile 2023

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Articoli di riviste sul tema "Random-multisine"

1

Enqvist, Martin. "Separability of scalar random multisine signals." Automatica 47, no. 9 (2011): 1860–67. http://dx.doi.org/10.1016/j.automatica.2011.05.015.

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2

Figwer, Jarosław. "Continuous-time dynamic system identification with multisine random excitation revisited." Archives of Control Sciences 20, no. 2 (2010): 133–49. http://dx.doi.org/10.2478/v10170-010-0009-4.

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Abstract (sommario):

Continuous-time dynamic system identification with multisine random excitation revisitedThe paper presents a new, revisited and unified approach to a linear continuous-time dynamic single-input single-output system identification using input and output signal samples acquired with a deterministic constant or random sampling interval. The approach is based on a specially designed identification experiment with excitation of the form of a continuous-time multisine random excitation and digital processing of the corresponding signal samples obtained without analogue antialiasing filtration in the case of disturbances satisfying or not satisfying the Shannon's sampling theorem. Properties of the proposed approach are discussed taking into account nonlinearity of the excitation generation and data acquisition systems with a focus on model identification in the case of input and output signal levels comparable with data acquisition system accuracy. Methods reducing influence of the disturbances (including aliasing) as well as nonlinearities of the excitation generation and data acquisition systems on identification results are proposed, too.

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3

Breugelmans, Tom, Els Tourwé, Jean-Baptiste Jorcin, et al. "Odd random phase multisine EIS for organic coating analysis." Progress in Organic Coatings 69, no. 2 (2010): 215–18. http://dx.doi.org/10.1016/j.porgcoat.2010.04.008.

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4

Van Ingelgem, Yves, Els Tourwé, Orlin Blajiev, Rik Pintelon, and Annick Hubin. "Advantages of Odd Random Phase Multisine Electrochemical Impedance Measurements." Electroanalysis 21, no. 6 (2009): 730–39. http://dx.doi.org/10.1002/elan.200804471.

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5

Crama, Philippe, and Johan Schoukens. "FIRST ESTIMATES OF WIENER-HAMMERSTEIN SYSTEMS USING A RANDOM MULTISINE EXCITATION." IFAC Proceedings Volumes 35, no. 1 (2002): 43–48. http://dx.doi.org/10.3182/20020721-6-es-1901.00418.

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6

Główka, Teresa, and Jarosław Figwer. "A Higher-Order Spectra Based Method of On-Line Secondary Path Model Identification for Active Noise Control Systems." Solid State Phenomena 248 (March 2016): 3–10. http://dx.doi.org/10.4028/www.scientific.net/ssp.248.3.

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Abstract (sommario):

The aim of this paper is to present a method of nonparametric and parametric secondary path model identification for adaptive active noise control systems with low-power non-Gaussian excitations of the form of a higher-order discrete-time multisine random process and data processing based on cross-higher-order spectra. Properties of the discussed method are illustrated by simulation experiments devoted to secondary path identification for feedforward and feedback active noise control systems. Its robustness to nonlinear distortions implied by data acquisition system and adaptation procedure is proved.

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7

Zhang, E., R. Pintelon, and P. Guillaume. "Modal Identification Using OMA Techniques: Nonlinearity Effect." Shock and Vibration 2015 (2015): 1–12. http://dx.doi.org/10.1155/2015/178696.

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This paper is focused on an assessment of the state of the art of operational modal analysis (OMA) methodologies in estimating modal parameters from output responses of nonlinear structures. By means of the Volterra series, the nonlinear structure excited by random excitation is modeled as best linear approximation plus a term representing nonlinear distortions. As the nonlinear distortions are of stochastic nature and thus indistinguishable from the measurement noise, a protocol based on the use of the random phase multisine is proposed to reveal the accuracy and robustness of the linear OMA technique in the presence of the system nonlinearity. Several frequency- and time-domain based OMA techniques are examined for the modal identification of simulated and real nonlinear mechanical systems. Theoretical analyses are also provided to understand how the system nonlinearity degrades the performance of the OMA algorithms.

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8

Crama, P., and J. Schoukens. "Computing an Initial Estimate of a Wiener–Hammerstein System With a Random Phase Multisine Excitation." IEEE Transactions on Instrumentation and Measurement 54, no. 1 (2005): 117–22. http://dx.doi.org/10.1109/tim.2004.838130.

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9

Hauffman, Tom, Tom Breugelmans, Yves van Ingelgem, Els Tourwé, Herman Terryn, and Annick Hubin. "Measuring the adsorption of ethanol on aluminium oxides using odd random phase multisine electrochemical impedance spectroscopy." Electrochemistry Communications 22 (August 2012): 124–27. http://dx.doi.org/10.1016/j.elecom.2012.06.008.

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10

Alvarez-Pampliega, A., T. Hauffman, M. Petrova, et al. "Corrosion study on Al-rich metal-coated steel by odd random phase multisine electrochemical impedance spectroscopy." Electrochimica Acta 124 (April 2014): 165–75. http://dx.doi.org/10.1016/j.electacta.2013.09.159.

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