Nie, X and Coca, D (2018) A matrix-based approach to solving the inverse Frobenius-Perron problem using sequences of density functions of stochastically perturbed dynamical systems. Communications in Nonlinear Science and Numerical Simulation, 54. pp. 248-266. ISSN 1007-5704
Abstract
The paper introduces a matrix-based approach to estimate the unique one-dimensional discrete-time dynamical system that generated a given sequence of probability density functions whilst subjected to an additive stochastic perturbation with known density.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2017 The Authors. Published by Elsevier B.V. This is an open access article under the terms of the Creative Commons Attribution License (CC-BY). |
Keywords: | Nonlinear systems; Chaotic maps; Probability density functions; Inverse Frobenius-Perron Problem |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Environment (Leeds) > School of Geography (Leeds) > Centre for Spatial Analysis & Policy (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 01 Jun 2017 10:31 |
Last Modified: | 18 Jul 2017 21:37 |
Status: | Published |
Publisher: | Elsevier |
Identification Number: | 10.1016/j.cnsns.2017.05.011 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:117182 |