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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 ( IF 3.4 ) Pub Date : 2017-05-31 , DOI: 10.1016/j.cnsns.2017.05.011
Xiaokai Nie 1, 2 , Daniel Coca 1
Affiliation  

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.



中文翻译:

一种基于矩阵的方法,使用随机扰动动态系统的密度函数序列来解决反 Frobenius-Perron 问题。

本文介绍了一种基于矩阵的方法来估计独特的一维离散时间动态系统,该系统生成给定的概率密度函数序列,同时受到已知密度的加性随机扰动。

更新日期:2017-05-31
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