Nie, Xiaokai, Luo, Jingjing, Coca, Daniel, Birkin, Mark and Chen, Jing (2018) Identification of stochastically perturbed autonomous systems from temporal sequences of probability density functions. Journal of Nonlinear Science, 28 (4). pp. 1467-1487. doi:10.1007/s00332-018-9455-0 ISSN 1432-1467.

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Abstract

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 experimentally.

Item Type:	Journal Article
Divisions:	Faculty of Science, Engineering and Medicine > Medicine > Warwick Medical School
SWORD Depositor:	Library Publications Router
Journal or Publication Title:	Journal of Nonlinear Science
Publisher:	Springer US
ISSN:	1432-1467
Official Date:	August 2018
Dates:	Date Event August 2018 Published 21 March 2018 Available 14 March 2018 Accepted
Volume:	28
Number:	4
Page Range:	pp. 1467-1487
DOI:	10.1007/s00332-018-9455-0
Status:	Peer Reviewed
Publication Status:	Published
Reuse Statement (publisher, data, author rights):
Access rights to Published version:	Open Access (Creative Commons)
Date of first compliant deposit:	27 September 2018

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