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 estimation device (100) comprising: a plant model (2) that is a previously set physical model that simulates the operation of a target product, and inputs a model parameter value and calculates a process value; a model parameter value estimation unit (3) that, on the basis of the process value, estimates the most plausible model parameter value; an accumulation unit (4) that accumulates calculation results from the model parameter value estimation unit (3); and an output unit (5) that outputs the calculation results from the model parameter value estimation unit (3), wherein the model parameter value estimation unit (3) inputs a measurement value for a target product and a plurality of process values that were calculated with the plant model (2), and performs Bayesian updating of a probability density function that was accumulated by the accumulation unit (4), treating a function that was generated on the basis of an accuracy evaluation of the plurality of process values with regard to the measurement value as a plausibility function. Thus, the present invention is able to provide a model parameter value estimation device and estimation method with which a model parameter value can be estimated even when the distribution profile or statistics of the probability density function are unknown or difficult to estimate.
机译:模型参数值估计装置(100)包括:工厂模型(2),其是预先设置的物理模型,其模拟目标产品的操作,并输入模型参数值并计算过程值;以及模型参数值估计单元(3),基于过程值,估计最合理的模型参数值;累积单元(4),其累积来自模型参数值估计单元(3)的计算结果;输出单元(5),其从模型参数值估计单元(3)输出计算结果,其中模型参数值估计单元(3)输入目标产品的测量值和所计算的多个过程值利用工厂模型(2),对由累积单元(4)累积的概率密度函数进行贝叶斯更新,对基于多个过程值的精度评估而产生的函数进行处理。测量值作为真实性函数。因此,本发明能够提供一种模型参数值估计装置和估计方法,利用该模型参数值估计装置和估计方法,即使在概率密度函数的分布轮廓或统计量未知或难以估计时,也能够估计模型参数值。

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