z-logo
open-access-imgOpen Access
Parameter identification using moment of velocity
Author(s) -
Mohsen Dorraki,
Md. Saiful Islam,
Andrew Allison,
Derek Abbott
Publication year - 2019
Publication title -
royal society open science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.84
H-Index - 51
ISSN - 2054-5703
DOI - 10.1098/rsos.190671
Subject(s) - position (finance) , impulse response , impulse (physics) , hilbert transform , control theory (sociology) , moment (physics) , identification (biology) , oscillation (cell signaling) , complex conjugate , mathematics , signal (programming language) , signal processing , estimation theory , system identification , mathematical analysis , computer science , algorithm , physics , digital signal processing , classical mechanics , statistics , spectral density , artificial intelligence , database , genetics , biology , control (management) , programming language , measure (data warehouse) , botany , finance , computer hardware , economics
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.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom