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Identification of Stochastically Perturbed Autonomous Systems from Temporal Sequences of Probability Density Functions.
Journal of Nonlinear Science ( IF 3 ) Pub Date : 2018-03-21 , DOI: 10.1007/s00332-018-9455-0
Xiaokai Nie 1, 2, 3 , Jingjing Luo 4 , Daniel Coca 2 , Mark Birkin 1 , Jing Chen 3
Affiliation  

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.

中文翻译:

从概率密度函数的时间序列识别随机扰动自治系统。

该论文介绍了一种重建一维迭代映射的方法,该映射由外部控制输入驱动并受到加性随机扰动,从随机动力系统生成并通过实验观察的概率密度函数序列。
更新日期:2018-03-21
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