Identification of Stochastically Perturbed Autonomous Systems from Temporal Sequences of Probability Density Functions

The paper introduces a method for reconstructing one-dimensional iterated maps that are driven by an external control input and subjected to an additive stochastic perturbation, from sequences of probability density functions that are generated by the stochastic dynamical systems and observed experi...

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Detalles Bibliográficos
Autores principales: Nie, Xiaokai, Luo, Jingjing, Coca, Daniel, Birkin, Mark, Chen, Jing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6018646/
https://www.ncbi.nlm.nih.gov/pubmed/30008519
http://dx.doi.org/10.1007/s00332-018-9455-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6018646/
https://www.ncbi.nlm.nih.gov/pubmed/30008519
http://dx.doi.org/10.1007/s00332-018-9455-0

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