首页> 外国专利> MODEL PARAMETER VALUE ESTIMATION DEVICE AND ESTIMATION METHOD, PROGRAM, RECORDING MEDIUM WITH PROGRAM RECORDED THERETO, AND MODEL PARAMETER VALUE ESTIMATION SYSTEM

MODEL PARAMETER VALUE ESTIMATION DEVICE AND ESTIMATION METHOD, PROGRAM, RECORDING MEDIUM WITH PROGRAM RECORDED THERETO, AND MODEL PARAMETER VALUE ESTIMATION SYSTEM

机译:模型参数值估计装置和估计方法,程序,利用其记录程序的记录介质以及模型参数值估计系统

摘要

A model parameter value estimator 100 including: a plant model 2 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 model parameter value estimation section 3 which estimates the model parameter value with a higher likelihood on the basis of the process value; an accumulation section 4 which accumulates a computation result of the model parameter value estimation section 3; and an output section 5 which outputs the computation result of the model parameter value estimation section 3, wherein a measurement value of the target product and a plurality of process values computed by the plant model 2 are input to the model parameter value estimation section 3, and the model parameter value estimation section 3 performs Bayesian updating on a probability density function accumulated in the accumulation section 4 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100包括:工厂模型2,该工厂模型2是模拟目标产品的操作的预设物理模型,向其输入模型参数值,并且计算过程值。模型参数值估计部分3,其基于处理值来估计可能性更高的模型参数值;累积部分4,其累积模型参数值估计部分3的计算结果;输出部5输出模型参数值估计部3的计算结果,其中,目标产品的测量值和由工厂模型2计算出的多个处理值被输入到模型参数值估计部3,模型参数值推定部3将对多个处理值中的每一个相对于测量值的精度评价基于所产生的函数作为似然度,对在累积部4中累积的概率密度函数进行贝叶斯更新。功能。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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