A continuous-time delay chaotic system obtained from a chaotic logistic map

Acho Zuppa, Leonardo

doi:10.2316/P.2017.848-001

dc.contributor.author	Acho Zuppa, Leonardo
dc.contributor.other	Universitat Politècnica de Catalunya. Departament de Matemàtiques
dc.date.accessioned	2017-02-21T10:56:40Z
dc.date.issued	2017
dc.identifier.citation	Acho, L. A continuous-time delay chaotic system obtained from a chaotic logistic map. A: IASTED International Conference Modelling, Identification and Control. "Modelling, Identification and Control (MIC 2017)". Innsbruck: ACTA Press, 2017, p. 147-150.
dc.identifier.isbn	978-0-88986-988-2
dc.identifier.uri	http://hdl.handle.net/2117/101290
dc.description.abstract	This paper presents a procedure to transform a chaotic logistic map into a continuous-time delay chaotic system by using sampled-data representation of continuous-time models. Because of this, the chaotic behavior of the resultant scheme is easy to proofread. A numerical illustration is also realized by utilizing Matlab/Simulink, where the new resultant chaotic attractor is shown
dc.format.extent	4 p.
dc.language.iso	eng
dc.publisher	ACTA Press
dc.rights.uri	http://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subject	Àrees temàtiques de la UPC::Matemàtiques i estadística
dc.subject.lcsh	Chaotic behavior in systems
dc.subject.other	Chaos
dc.subject.other	Delay systems
dc.subject.other	Logistic map.
dc.title	A continuous-time delay chaotic system obtained from a chaotic logistic map
dc.type	Conference report
dc.subject.lemac	Caos (Teoria de sistemes)
dc.contributor.group	Universitat Politècnica de Catalunya. CoDAlab - Control, Modelització, Identificació i Aplicacions
dc.identifier.doi	10.2316/P.2017.848-001
dc.rights.access	Restricted access - publisher's policy
local.identifier.drac	19719451
dc.description.version	Postprint (published version)
dc.date.lift	10000-01-01
local.citation.author	Acho, L.
local.citation.contributor	IASTED International Conference Modelling, Identification and Control
local.citation.pubplace	Innsbruck
local.citation.publicationName	Modelling, Identification and Control (MIC 2017)
local.citation.startingPage	147
local.citation.endingPage	150