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dc.contributorUniversitat Ramon Llull. La Salle
dc.contributor.authorVelasco Droguet, Albert
dc.date.accessioned2021-07-23T12:41:14Z
dc.date.accessioned2023-07-13T09:34:53Z
dc.date.available2021-07-23T12:41:14Z
dc.date.available2023-07-13T09:34:53Z
dc.date.issued2010
dc.identifier.urihttp://hdl.handle.net/20.500.14342/2723
dc.description.abstractIn this work we are going to model Non-Linear Dynamical Systems by applying Orthogonal Forward Regression algorithm. We will study Non-Linear dynamical systems, because are systems with lots of applications such as weather prediction, synchronization, numerical simulations etc. These systems are characterized to be able to produce chaotic behavior. The aim of this work is to develop a program able to model chaotic time-series. To do it, we will use Chua’s Circuit as one of the most known systems able to produce chaos.eng
dc.format.extent85 p.cat
dc.language.isoengcat
dc.relation.ispartofseriesENG TFM MEIG;1883
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International
dc.rights© Escola Tècnica Superior d'Enginyeria La Salle
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.sourceRECERCAT (Dipòsit de la Recerca de Catalunya)
dc.subject.otherSistemes no lineals -- TFMcat
dc.titleModelling non-linear dynamical systems by orthogonal forward regressioncat
dc.typeinfo:eu-repo/semantics/masterThesiscat
dc.rights.accessLevelinfo:eu-repo/semantics/openAccess
dc.embargo.termscapcat
dc.subject.udc004
dc.subject.udc62
dc.local.notesSupervisor Acadèmic: Xavier Vilasís Cardonacat


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Attribution-NonCommercial-NoDerivatives 4.0 International
Except where otherwise noted, this item's license is described as http://creativecommons.org/licenses/by-nc-nd/4.0/
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