Modelling non-linear dynamical systems by orthogonal forward regression

dc.contributor
Universitat Ramon Llull. La Salle
dc.contributor.author
Velasco Droguet, Albert
dc.date.accessioned
2025-03-11T20:28:15Z
dc.date.available
2025-03-11T20:28:15Z
dc.date.issued
2010
dc.identifier.uri
http://hdl.handle.net/20.500.14342/2723
dc.description.abstract
In 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.
dc.format.extent
85 p.
dc.language.iso
eng
dc.relation.ispartofseries
ENG TFM MEIG;1883
dc.rights
Attribution-NonCommercial-NoDerivatives 4.0 International
dc.rights
© Escola Tècnica Superior d'Enginyeria La Salle
dc.rights.uri
http://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subject
Sistemes no lineals -- TFM
dc.title
Modelling non-linear dynamical systems by orthogonal forward regression
dc.type
info:eu-repo/semantics/masterThesis
dc.subject.udc
004
dc.subject.udc
62
dc.embargo.terms
cap
dc.rights.accessLevel
info:eu-repo/semantics/openAccess


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