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dc.contributor.authorMohd Sazli, Saad-
dc.contributor.authorMohamad Izzat, Kamal-
dc.contributor.author‪Shayfull Zamree, Abd Rahim‬-
dc.contributor.authorMohd Nasir, Mat Saad-
dc.contributor.authorMohd Fathullah, Ghazli @ Ghazali-
dc.date.accessioned2020-11-03T01:22:39Z-
dc.date.available2020-11-03T01:22:39Z-
dc.date.issued2016-
dc.identifier.citationMATEC Web of Conferences, vol.78, 2016, 10 pagesen_US
dc.identifier.issn2261-236X (online)-
dc.identifier.urihttp://dspace.unimap.edu.my:80/xmlui/handle/123456789/68595-
dc.descriptionLink to publisher's homepage at https://www.matec-conferences.org/en_US
dc.description.abstractThis paper presents an investigation into the parameter estimation of the damped compound pendulum using Firefly algorithm method. In estimating the damped compound pendulum, the system necessarily needs a good model. Therefore, the aim of the work described in this paper is to obtain a dynamic model of the damped compound pendulum. By considering a discrete time form for the system, an autoregressive with exogenous input (ARX) model structures was selected. In order to collect input-output data from the experiment, the PRBS signal is used to be input signal to regulate the motor speed. Where, the output signal is taken from position sensor. Firefly algorithm (FA) algorithm is used to estimate the model parameters based on model 2nd orders. The model validation was done by comparing the measured output against the predicted output in terms of the closeness of both outputs via mean square error (MSE) value. The performance of FA is measured in terms of mean square error (MSE).en_US
dc.language.isoenen_US
dc.publisherEDP Sciencesen_US
dc.subjectPendulumen_US
dc.subjectFirefly algorithmen_US
dc.subjectDamped compound pendulumen_US
dc.titleApplication of Firefly Algorithm for Parameter Estimation of Damped Compound Pendulumen_US
dc.typeArticleen_US
dc.identifier.doihttps://doi.org/10.1051/matecconf/20167801119-
dc.contributor.urlsazlisaad@unimap.edu.myen_US
Appears in Collections:Mohd Sazli Saad, Dr.
Mohd Nasir Mat Saad, Ir.
Shayfull Zamree Abd Rahim, Assoc. Prof. Ir. Dr.
Mohd Fathullah Ghazli@ Ghazali, Associate Professor Ir. Dr.

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