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dc.contributor.authorKyprianou, Andreasen
dc.contributor.authorWorden, K.en
dc.creatorKyprianou, Andreasen
dc.creatorWorden, K.en
dc.description.abstractIn system identification, it is well-known that any non-linear in the parameters system, possesses a complicated error surface with many local minima. In this case the conventional algorithms, such as those based on least squares methods are not applicable, and an optimisation scheme is required. The structure of some hysteretic models contains unmeasured states and parameters which enter the equations in a non-linear way that are not differentiable. Therefore, to identify this class of models an optimisation scheme which, does not depend on gradient information, is required. This paper features a study of the application of the differential evolution optimisation algorithm to the Bout-Wen class of hysteretic systems. This study is based on simulated data.en
dc.publisherAffiliation: Dept. of Mechanichal Engineering, University of Sheffield, Mappin Street, Sheffield S1 3JD, United Kingdomen
dc.publisherCorrespondence Address: Kyprianou, A.en
dc.publisherDept. of Mechanichal Engineering, University of Sheffield, Mappin Street, Sheffield S1 3JD, United Kingdomen
dc.sourceProceedings of the 23rd International Conference on Noise and Vibration Engineering, ISMAen
dc.subjectMathematical modelsen
dc.subjectComputer simulationen
dc.subjectGenetic algorithmsen
dc.subjectIdentification (control systems)en
dc.subjectNonlinear systemsen
dc.subjectEvolutionary algorithmsen
dc.subjectBout-Wen modelsen
dc.subjectData acquisitionen
dc.subjectDifferential evolution optimization algorithmsen
dc.subjectHysteresis loopen
dc.subjectOptimization algorithmsen
dc.titleIdentification of hysteretic systems using the differential evolution algorithmen
dc.description.endingpage568Πολυτεχνική Σχολή / Faculty of EngineeringΤμήμα Μηχανικών Μηχανολογίας και Κατασκευαστικής / Department of Mechanical and Manufacturing Engineering
dc.type.uhtypeConference Objecten
dc.contributor.orcidKyprianou, Andreas [0000-0002-5037-2051]

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