Please use this identifier to cite or link to this item:
https://hdl.handle.net/2440/127615
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Type: | Journal article |
Title: | Parameter identification using moment of velocity |
Author: | Dorraki, M. Islam, M.S. Allison, A. Abbott, D. |
Citation: | Royal Society Open Science, 2019; 6(11):190671-1-190671-8 |
Publisher: | The Royal Society |
Issue Date: | 2019 |
ISSN: | 2054-5703 2054-5703 |
Statement of Responsibility: | M. Dorraki, M.S. Islam, A. Allison and D. Abbott |
Abstract: | Many physical systems can be adequately modelled using a second-order approximation. Thus, the problem of system identification often reduces to the problem of estimating the position of a single pair of complex–conjugate poles. This paper presents a convenient but approximate technique for the estimation of the position of a single pair of complex–conjugate poles, using the moment of velocity (MoV). The MoV is a Hilbert transform based signal processing tool that addresses the shortcomings of instantaneous frequency. We demonstrate that the MoV can be employed for parameter identification of a dynamical system. We estimate the damping coefficient and oscillation frequency via MoV of the impulse response. |
Keywords: | Parameter identification; Hilbert transform; moment of velocity |
Rights: | © 2019 The Authors. Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/, which permits unrestricted use, provided the original author and source are credited. |
DOI: | 10.1098/rsos.190671 |
Published version: | http://dx.doi.org/10.1098/rsos.190671 |
Appears in Collections: | Aurora harvest 8 Electrical and Electronic Engineering publications |
Files in This Item:
File | Description | Size | Format | |
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hdl_127615.pdf | Published Version | 1.11 MB | Adobe PDF | View/Open |
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