On the use of interval extensions to estimate the largest lyapunov exponent from chaotic data

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dc.creatorErivelton Geraldo Nepomuceno
dc.creatorSamir Martins
dc.creatorMárcio Lacerda
dc.creatorEduardo Mazoni Andrade Marçal Mendes
dc.date.accessioned2023-07-26T17:03:32Z
dc.date.accessioned2025-09-09T00:11:16Z
dc.date.available2023-07-26T17:03:32Z
dc.date.issued2018
dc.identifier.doihttps://doi.org/10.1155/2018/6909151
dc.identifier.issn1024-123X
dc.identifier.urihttps://hdl.handle.net/1843/57005
dc.languagepor
dc.publisherUniversidade Federal de Minas Gerais
dc.relation.ispartofMathematical problems in engineering
dc.rightsAcesso Aberto
dc.subjectLiapunov, Funções de
dc.subject.otherInterval extensions
dc.subject.otherLiapunov
dc.titleOn the use of interval extensions to estimate the largest lyapunov exponent from chaotic data
dc.typeArtigo de periódico
local.citation.epage9
local.citation.spage1
local.citation.volume2018
local.description.resumoA method to estimate the (positive) largest Lyapunov exponent (LLE) from data using interval extensions is proposed. The method differs from the ones available in the literature in its simplicity since it is only based on three rather simple steps. Firstly, a polynomial NARMAX is used to identify a model from the data under investigation. Secondly, interval extensions, which can be easily extracted from the identified model, are used to calculate the lower bound error. Finally, a simple linear fit to the logarithm of lower bound error is obtained and then the LLE is retrieved from it as the third step. To illustrate the proposed method, the LLE is calculated for the following well-known benchmarks: sine map, Rössler Equations, and Mackey-Glass Equations from identified models given in the literature and also from two identified NARMAX models: a chaotic jerk circuit and the tent map. In the latter, a Gaussian noise has been added to show the robustness of the proposed method.
local.identifier.orcidhttps://orcid.org/0000-0002-5841-2193
local.identifier.orcidhttps://orcid.org/0000-0003-1702-8504
local.identifier.orcidhttps://orcid.org/0000-0001-8487-3535
local.identifier.orcidhttps://orcid.org/0000-0002-3267-3862
local.publisher.countryBrasil
local.publisher.departmentENG - DEPARTAMENTO DE ENGENHARIA ELETRÔNICA
local.publisher.initialsUFMG
local.url.externahttps://www.hindawi.com/journals/mpe/2018/6909151/#copyright

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