Partial chaos suppression in a fractional order macroeconomic model

dc.contributorUniversidade de São Paulo (USP)
dc.contributorPolytech Porto
dc.contributorFederat Ind State Sao Paulo
dc.contributorUniversidade Estadual Paulista (Unesp)
dc.date.accessioned2018-11-27T08:16:27Z
dc.date.available2018-11-27T08:16:27Z
dc.date.created2018-11-27T08:16:27Z
dc.date.issued2016-04-01
dc.identifierMathematics And Computers In Simulation. Amsterdam: Elsevier Science Bv, v. 122, p. 55-68, 2016.
dc.identifier0378-4754
dc.identifierhttp://hdl.handle.net/11449/165051
dc.identifier10.1016/j.matcom.2015.11.004
dc.identifierWOS:000368966000004
dc.identifierWOS000368966000004.pdf
dc.description.abstractThis work investigates the possibility of suppressing chaos in a fractional-nonlinear macroeconomic dynamic model. The system generalizes a model recently reported in the literature in which chaos is strongly present. This description involves the inclusion of the public sector deficit and its coupling with other variables. The system is simulated for integer and non-integer orders that produce a complex dynamics. The time histories and the phase diagrams are presented. The main contribution of this work refers to the adoption of the largest Lyapunov exponent (LLE) criteria based on Wolf's algorithm. This approach improves the response of the system, suppressing, at least partially, the strong presence of chaos reported in previous studies. (C) 2015 International Association for Mathematics and Computers in Simulation (IMACS). Published by Elsevier B.V. All rights reserved.
dc.languageeng
dc.publisherElsevier B.V.
dc.relationMathematics And Computers In Simulation
dc.relation0,613
dc.rightsAcesso aberto
dc.sourceWeb of Science
dc.subjectMacroeconomic model
dc.subjectFractional calculus
dc.subjectNumerical simulations
dc.subjectNonlinear systems
dc.subjectChaos
dc.titlePartial chaos suppression in a fractional order macroeconomic model
dc.typeArtículos de revistas


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