Entropies from Markov Models as Complexity Measures of Embedded Attractors
ABSTRACT: This paper addresses the problem of measuring complexity from embedded attractors as a way to characterize changes in the dynamical behavior of different types of systems with a quasi-periodic behavior by observing their outputs. With the aim of measuring the stability of the trajectories...
- Autores:
-
Godino Llorente, Juan Ignacio
- Tipo de recurso:
- Article of investigation
- Fecha de publicación:
- 2015
- Institución:
- Universidad de Antioquia
- Repositorio:
- Repositorio UdeA
- Idioma:
- eng
- OAI Identifier:
- oai:bibliotecadigital.udea.edu.co:10495/7652
- Acceso en línea:
- http://hdl.handle.net/10495/7652
- Palabra clave:
- Complexity analysis
Entropy measures
Hidden Markov models
Principal curve
- Rights
- openAccess
- License
- https://creativecommons.org/licenses/by/4.0/