SciELO - Scientific Electronic Library Online

 
vol.8 suppl.1Clasificación de eritrocitos empleando modelos ocultos de MárkovExperiencia en el despliegue del piloto de galen clínicas en los laboratorios del instituto de hematología e inmunología índice de autoresíndice de materiabúsqueda de artículos
Home Pagelista alfabética de revistas  

Servicios Personalizados

Revista

Articulo

Indicadores

  • No hay articulos citadosCitado por SciELO

Links relacionados

  • No hay articulos similaresSimilares en SciELO

Compartir


Revista Cubana de Informática Médica

versión On-line ISSN 1684-1859

Resumen

GONZALEZ MULET, Yunet; MORENO LEMUS, Noel  y  MORENO LEMUS, Edel. Methodology for stability analysis in N-Dimensional equations systems. RCIM [online]. 2016, vol.8, suppl.1, pp.515-525. ISSN 1684-1859.

The analysis of the stability that present the systems when being in front of certain variations of the initial conditions and the parameters that it characterize, it is today one of the important studies that carried out to the dynamic systems. The existent methods until the moment don't allow making this analysis in more than a time series at the same time, because in general they annul the ability to gather in oneself study the possibility to verify how they influence the variations. That´s the reason why the present work has the purpose of to put in the investigator's hands a methodology that allows to study the stability of the Systems of n-dimensional Differential Equations, regarding the variation of the parameters of the same one and to interpret the obtained results. Specifically like essential part of the methodology was used the function lyapunov developed inside the mathematical assistant Matlab and for the analysis of those results the technique of Datamining was included: Trees of Decision, also wanting to have results in the smallest possible time, one worked with the Platform of Tasks Distributed T-arenal. The methodology was applied to a case of study reported in the literature and one was proven that it was obtained the same classification of stability or uncertainty. On the other hand, when carrying out the analysis in a quantity of time series, the time in that the result was obtained was considerably small, concerning its complexity.

Palabras clave : time series; stability; exponent of Lyapunov.

        · resumen en Español     · texto en Español     · Español ( pdf )

 

Creative Commons License Todo el contenido de esta revista, excepto dónde está identificado, está bajo una Licencia Creative Commons