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Nonlinear system identification via basis functions based time domain volterra model

This paper proposes basis functions based time domain Volterra model for nonlinear system identification. The Volterra kernels are expanded by using complex exponential basis functions and estimated via genetic algorithm (GA). The accuracy and practicability of the proposed method are then assessed...

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Main Authors: Yazid, E., Liew, M.S., Parman, S., Kurian, V.J., Ng, C.Y.
Format: Conference or Workshop Item
Published: EDP Sciences 2014
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-84904994059&doi=10.1051%2fmatecconf%2f20141302031&partnerID=40&md5=bf5c5cde61e94f06adf5713ccd61d418
http://eprints.utp.edu.my/32258/
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spelling my.utp.eprints.322582022-03-29T05:02:40Z Nonlinear system identification via basis functions based time domain volterra model Yazid, E. Liew, M.S. Parman, S. Kurian, V.J. Ng, C.Y. This paper proposes basis functions based time domain Volterra model for nonlinear system identification. The Volterra kernels are expanded by using complex exponential basis functions and estimated via genetic algorithm (GA). The accuracy and practicability of the proposed method are then assessed experimentally from a scaled 1:100 model of a prototype truss spar platform. Identification results in time and frequency domain are presented and coherent functions are performed to check the quality of the identification results. It is shown that results between experimental data and proposed method are in good agreement. © 2014 Owned by the authors, published by EDP Sciences. EDP Sciences 2014 Conference or Workshop Item NonPeerReviewed https://www.scopus.com/inward/record.uri?eid=2-s2.0-84904994059&doi=10.1051%2fmatecconf%2f20141302031&partnerID=40&md5=bf5c5cde61e94f06adf5713ccd61d418 Yazid, E. and Liew, M.S. and Parman, S. and Kurian, V.J. and Ng, C.Y. (2014) Nonlinear system identification via basis functions based time domain volterra model. In: UNSPECIFIED. http://eprints.utp.edu.my/32258/
institution Universiti Teknologi Petronas
building UTP Resource Centre
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Petronas
content_source UTP Institutional Repository
url_provider http://eprints.utp.edu.my/
description This paper proposes basis functions based time domain Volterra model for nonlinear system identification. The Volterra kernels are expanded by using complex exponential basis functions and estimated via genetic algorithm (GA). The accuracy and practicability of the proposed method are then assessed experimentally from a scaled 1:100 model of a prototype truss spar platform. Identification results in time and frequency domain are presented and coherent functions are performed to check the quality of the identification results. It is shown that results between experimental data and proposed method are in good agreement. © 2014 Owned by the authors, published by EDP Sciences.
format Conference or Workshop Item
author Yazid, E.
Liew, M.S.
Parman, S.
Kurian, V.J.
Ng, C.Y.
spellingShingle Yazid, E.
Liew, M.S.
Parman, S.
Kurian, V.J.
Ng, C.Y.
Nonlinear system identification via basis functions based time domain volterra model
author_facet Yazid, E.
Liew, M.S.
Parman, S.
Kurian, V.J.
Ng, C.Y.
author_sort Yazid, E.
title Nonlinear system identification via basis functions based time domain volterra model
title_short Nonlinear system identification via basis functions based time domain volterra model
title_full Nonlinear system identification via basis functions based time domain volterra model
title_fullStr Nonlinear system identification via basis functions based time domain volterra model
title_full_unstemmed Nonlinear system identification via basis functions based time domain volterra model
title_sort nonlinear system identification via basis functions based time domain volterra model
publisher EDP Sciences
publishDate 2014
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-84904994059&doi=10.1051%2fmatecconf%2f20141302031&partnerID=40&md5=bf5c5cde61e94f06adf5713ccd61d418
http://eprints.utp.edu.my/32258/
_version_ 1738657362256855040
score 13.2014675

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