Abstract

A method for identifying models of a given specification based on the use of the maximum admissible estimates of the requisite parameters is presented. This method provides parametric identification of models in the case when prior information about the system under study is characterized by a small number of observations and its uncertain character cannot be neglected. The method is validated for the quantitative analysis of multicomponent fullerene-containing mixtures, which is carried out using the Vierordt method.

中文翻译：

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不确定初始数据下多组分化学系统模型的参数辨识

摘要

提出了一种基于对必要参数的最大允许估计值的使用来识别给定规格模型的方法。当有关被研究系统的先验信息以少量观察为特征并且其不确定性不能忽略时，这种方法可以对模型进行参数识别。该方法可用于定量分析含富勒烯的多组分混合物，该方法使用Vierordt方法进行。