Please use this identifier to cite or link to this item: https://doi.org/10.1016/S0954-1810(00)00024-8
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dc.titleTaguchi-tuned radial basis function with application to high precision motion control
dc.contributor.authorTan, K.K.
dc.contributor.authorTang, K.Z.
dc.date.accessioned2014-06-17T03:07:57Z
dc.date.available2014-06-17T03:07:57Z
dc.date.issued2001-01
dc.identifier.citationTan, K.K., Tang, K.Z. (2001-01). Taguchi-tuned radial basis function with application to high precision motion control. Artificial Intelligence in Engineering 15 (1) : 25-36. ScholarBank@NUS Repository. https://doi.org/10.1016/S0954-1810(00)00024-8
dc.identifier.issn09541810
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/57591
dc.description.abstractThis paper presents a novel application of Taguchi method to systematically tune the weights of a radial basis function (RBF) network, which is widely used for modelling vaguely defined but smooth nonlinear functions. The main strength of this method is the well-defined and systematic statistical design procedure, which is amenable to practical implementation. To illustrate the effectiveness of the Taguchi-tuned RBF, a test platform is required. This approach is applied to a platform involving high precision motion control. The developed method then is used to tune a composite motion controller incorporating RBF-based adaptive control in a high precision motion environment. Simulation and experimental results reveal the effectiveness of a Taguchi-tuned RBF. © 2001 Elsevier Science Ltd.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1016/S0954-1810(00)00024-8
dc.sourceScopus
dc.subjectAdaptive and precision motion control
dc.subjectNonlinear control
dc.subjectRadial basis function (RBF)
dc.subjectTaguchi method
dc.typeArticle
dc.contributor.departmentELECTRICAL & COMPUTER ENGINEERING
dc.description.doi10.1016/S0954-1810(00)00024-8
dc.description.sourcetitleArtificial Intelligence in Engineering
dc.description.volume15
dc.description.issue1
dc.description.page25-36
dc.description.codenAIENE
dc.identifier.isiut000169317000006
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