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Erschienen in:

2020 | OriginalPaper | Buchkapitel

13. Parameter Identification of Acoustic Systems

verfasst von : Ronald N. Miles

Erschienen in: Physical Approach to Engineering Acoustics

Verlag: Springer International Publishing

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Abstract

There are many situations where it is desirable to estimate values of a finite set of complex parameters to describe devices and systems in acoustics. Methods for the identification of the essential parameters of dynamic systems have been pursued for numerous decades and many review articles and excellent dissertations are available on this subject [1‐10]. Despite the ‘maturity’ of this field, it remains extremely challenging. Some of the algorithms that are available in widely-used software (such as the System Identification Toolbox in Matlab) fail to succeed in identifying the parameters of relatively simple systems [4]. Sekine et al. [11] successfully identified the two lowest modes in a positioning system for a laser but the third mode posed challenges and ‘improvements of the identification accuracy of the 3rd resonance ‘will be a future work.’

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Vorheriges Kapitel Estimation of Capacitance

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Garnier H (2015) Direct continuous-time approaches to system identification. Overview and benefits for practical applications. Eur J Control 24:50–62MathSciNetCrossRef

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Gillberg J, Ljung L (2009) Frequency-domain identification of continuous-time ARMA models from sampled data. Automatica 45(6):1371–1378MathSciNetCrossRef

11.

Sekine H, Ueda S, Suzuki M, Hirata M (2015) System identification of a Galvano scanner using input-output data obtained from positioning control. In: 2015 European Control conference (ECC). IEEE, pp 1297–1302

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El-Kafafy M, Guillaume P, Peeters B, Marra F, Coppotelli G (2012) Advanced frequency-domain modal analysis for dealing with measurement noise and parameter uncertainty. Topics in modal analysis I, volume 5. Springer, BerlinCrossRef

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Titel: Parameter Identification of Acoustic Systems
verfasst von: Ronald N. Miles
Verlag: Springer International Publishing
Buch: Physical Approach to Engineering Acoustics
Print ISBN: 978-3-030-22675-6

Electronic ISBN: 978-3-030-22676-3

Copyright-Jahr: 2020
DOI: https://doi.org/10.1007/978-3-030-22676-3_13

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