Nonlinear identification of a small scale unmanned helicopter using optimized NARX network with multiobjective differential evolution

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dc.contributor.authorTijani, I.
dc.contributor.authorAkmeliawati, R.
dc.contributor.authorLegowo, A.
dc.contributor.authorBudiyono, A.
dc.date.issued2014
dc.description.abstractAbstract not available
dc.description.statementofresponsibilityIsmaila B. Tijani, Rini Akmeliawati, Ari Legowo, Agus Budiyono
dc.identifier.citationEngineering Applications of Artificial Intelligence, 2014; 33:99-115
dc.identifier.doi10.1016/j.engappai.2014.04.003
dc.identifier.issn0952-1976
dc.identifier.issn1873-6769
dc.identifier.orcidAkmeliawati, R. [0000-0003-0660-2312]
dc.identifier.urihttp://hdl.handle.net/2440/112499
dc.language.isoen
dc.publisherElsevier
dc.rights© 2014 Elsevier Ltd. All rights reserved.
dc.source.urihttps://doi.org/10.1016/j.engappai.2014.04.003
dc.subjectUnmanned helicopter system; NARX; neural network; multiobjective differential evolution (MODE); system identification
dc.titleNonlinear identification of a small scale unmanned helicopter using optimized NARX network with multiobjective differential evolution
dc.typeJournal article
pubs.publication-statusPublished

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