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ESTIMATOR, ESTIMATION METHOD, PROGRAM AND STORAGE MEDIUM WHERE PROGRAM STORED FOR MODEL PARAMETER ESTIMATION AND MODEL PARAMETER ESTIMATION SYSTEM

机译:用于模型参数估计和模型参数估计系统的估计器,估计方法,程序和存储介质

摘要

A model parameter value estimator includes a plant model which is a preset physical model simulating an operation of a target product, to which a model parameter value is input, and which computes a process value. A measurement value of the target product and a plurality of process values computed by the plant model are input to a model parameter value estimation section, which performs Bayesian updating on a probability density function accumulated in an accumulation section while regarding a function generated on the basis of accuracy evaluation of each of the plurality of process values with respect to the measurement value as a likelihood function. It is thereby possible to provide an estimator and an estimation method for model parameter value estimation capable of estimating a model parameter value even if a distribution profile and statistics for the probability density function are unknown or difficult to estimate.
机译:模型参数值估计器包括工厂模型,该工厂模型是模拟目标产品的操作的预设物理模型,模型参数值输入到该工厂模型,并且计算过程值。将目标产品的测量值和由工厂模型计算出的多个过程值输入到模型参数值估计部分,该模型参数值估计部分对累积在累积部分中的概率密度函数执行贝叶斯更新,同时考虑基于该函数生成的函数多个处理值中的每一个相对于作为似然函数的测量值的精度评估的精度。从而可以提供一种用于模型参数值估计的估计器和估计方法,即使概率密度函数的分布分布和统计信息未知或难以估计,该估计器和估计方法也能够估计模型参数值。

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