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System identification of flexible structure using firefly algorithm

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cris.author.scopus-author-id 57219520932
cris.author.scopus-author-id 57223333822
cris.author.scopus-author-id 56016804900
cris.author.scopus-author-id 36999011800
cris.author.scopus-author-id 57201741934
cris.virtual.department Universiti Malaysia Perlis
cris.virtual.department Universiti Malaysia Perlis
cris.virtual.department Universiti Malaysia Perlis
cris.virtual.department Universiti Malaysia Perlis
cris.virtualsource.department 63a8851e-b9a0-4201-93cd-e9e58271076e
cris.virtualsource.department 78d9ff14-28eb-49b3-aa3f-09bec39499dd
cris.virtualsource.department f65a4d28-3238-466d-a3c5-15db1fb016df
cris.virtualsource.department 85278b1f-1bda-4ede-a5f7-a845a9701f89
dc.contributor.author Mohd Sazli Saad
dc.contributor.author Noor Fadhilah Mat Ros
dc.contributor.author Mohamad Ezral Baharudin
dc.contributor.author Mohd Zakimi Zakaria
dc.contributor.author Azuwir Mohd Nor
dc.date.accessioned 2024-09-28T02:00:25Z
dc.date.available 2024-09-28T02:00:25Z
dc.date.issued 2021-05-03
dc.description.abstract This paper originally concentrates on application of firefly algorithm on modeling of flexible beam. An attempt of obtaining a linear parametric model is accomplished by acquiring the input-output data from the vibration of beam and followed by the selection the auto regressive with exogenous inputs (ARX) model structure as a benchmark for mathematical model of beam. The parameters of the model structure are identified using firefly algorithm. A few sets of parameter settings are tested to find the most optimal value. The best parameter setting estimation is selected based on performance of model. The model is compared with the model from conventional estimation approach and validated using validity test. It is found that firefly algorithm produces the best ARX model with the lowest MSE compared to the least square algorithm.
dc.identifier.doi 10.1063/5.0044302
dc.identifier.isbn [9780735440913]
dc.identifier.scopus 2-s2.0-85105657723
dc.identifier.uri https://hdl.handle.net/20.500.14170/5194
dc.language.iso en
dc.relation.funding Ministry of Higher Education, Malaysia
dc.relation.grantno FRGS 9003-00451
dc.relation.ispartof AIP Conference Proceedings
dc.relation.ispartofseries AIP Conference Proceedings
dc.relation.issn 0094243X
dc.title System identification of flexible structure using firefly algorithm
dc.type Conference Proceeding
dspace.entity.type Publication
oaire.citation.volume 2339
oairecerif.affiliation.orgunit Universiti Malaysia Perlis
oairecerif.affiliation.orgunit Universiti Malaysia Perlis
oairecerif.affiliation.orgunit Universiti Malaysia Perlis
oairecerif.affiliation.orgunit Universiti Malaysia Perlis
oairecerif.affiliation.orgunit Universiti Malaysia Perlis
oairecerif.author.affiliation Universiti Malaysia Perlis
oairecerif.author.affiliation Universiti Malaysia Perlis
oairecerif.author.affiliation Universiti Malaysia Perlis
oairecerif.author.affiliation Universiti Malaysia Perlis
oairecerif.author.affiliation Universiti Malaysia Perlis
oairecerif.citation.number 020017
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person.identifier.scopus-author-id 57219520932
person.identifier.scopus-author-id 57223333822
person.identifier.scopus-author-id 56016804900
person.identifier.scopus-author-id 36999011800
person.identifier.scopus-author-id 57201741934
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