Zobrazit minimální záznam

dc.contributor.authorZelinka, Ivan
dc.contributor.authorChadli, Mohammed
dc.contributor.authorDavendra, Donald David
dc.contributor.authorŠenkeřík, Roman
dc.contributor.authorJašek, Roman
dc.date.accessioned2012-11-02T12:39:55Z
dc.date.available2012-11-02T12:39:55Z
dc.date.issued2013
dc.identifier.citationMathematical and Computer Modelling. 2013, vol. 57, issues 1-2, s. 2-15.cs
dc.identifier.issn0895-7177
dc.identifier.urihttp://hdl.handle.net/10084/95667
dc.description.abstractThis paper discusses the possibility of using evolutionary algorithms for the reconstruction of chaotic systems. The main aim of this work is to show that evolutionary algorithms are capable of the reconstruction of chaotic systems without any partial knowledge of internal structure, i.e. based only on measured data and a predefined set of basic mathematical “objects”. Algorithm SOMA and differential evolution were used in reported experiments here. Systems selected for numerical experiments here is the well-known Lorenz system, Simplest Quadratic Flow, Double Sroll, Damped Driven Pendulum and Nosé—Hoover oscillator. For each algorithm repeated simulations were done, totaling 20 simulations. According to obtained results it can be stated that evolutionary reconstruction is an alternative and promising way as to how to identify chaotic systems.cs
dc.language.isoencs
dc.publisherElseviercs
dc.relation.ispartofseriesMathematical and Computer Modellingcs
dc.relation.urihttp://dx.doi.org/10.1016/j.mcm.2011.06.034cs
dc.subjectchaoscs
dc.subjectevolutioncs
dc.subjectsynthesiscs
dc.subjectSOMAcs
dc.subjectdifferential evolutioncs
dc.titleAn investigation on evolutionary reconstruction of continuous chaotic systemscs
dc.typearticlecs
dc.identifier.locationNení ve fondu ÚKcs
dc.identifier.doi10.1016/j.mcm.2011.06.034
dc.type.statusPeer-reviewedcs
dc.description.sourceWeb of Sciencecs
dc.description.volume57cs
dc.description.issue1-2cs
dc.description.lastpage15cs
dc.description.firstpage2cs
dc.identifier.wos000308805600002


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Zobrazit minimální záznam