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Published in:
Analysis of Acoustic Signals Read chapter Read first chapter

2020 | OriginalPaper | Chapter

13. Parameter Identification of Acoustic Systems

Author : Ronald N. Miles

Published in: Physical Approach to Engineering Acoustics

Publisher: 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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previous chapter Estimation of Capacitance
Literature
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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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Metadata
Title
Parameter Identification of Acoustic Systems
Author
Ronald N. Miles
Copyright Year
2020
Book
Physical Approach to Engineering Acoustics

Print ISBN: 978-3-030-22675-6

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

Copyright Year: 2020

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

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