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Parameter estimation in uncertain differential equations with exponential solutions

机译:指数解决方案不确定微分方程的参数估计

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摘要

This paper proposes three methods to estimate the parameters in uncertain differential equations (UDEs) based on discrete observation data. The first method is designed for a class of UDEs in which their solutions have the explicit expressions of uncertainty distribution. The second method is given to solve the estimation problem through the inverse uncertainty distribution. In the third method, the unknown parameters of UDEs are estimated by the solution of the corresponding alpha-path. These methods are interpreted to be efficient and practical by using a popular UDE with exponential solutions and obtaining the detailed estimators of the parameters.
机译:提出了三种基于离散观测数据的不确定微分方程参数估计方法。第一种方法是针对一类UDE设计的,其中它们的解具有不确定性分布的显式表达式。第二种方法是通过逆不确定性分布来解决估计问题。在第三种方法中,通过解相应的alpha路径来估计ude的未知参数。这些方法被解释为有效和实用的,通过使用一个流行的指数解的UDE,并获得参数的详细估计。

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