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Modeling a production system by parametric identification approach

机译:通过参数识别方法对生产系统建模

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This paper refers to possibility of utilization a new method for modeling an industrial production system using the identification approach. The production system studied is considered as a black box, which does not require any knowledge of the internal parameters. Two structures of linear parametric models are outlined and compared i.e. Autoregressive with Exogenous (ARX) model and Autoregressive Moving Average with Exogenous (ARMAX) model. The best linear model is ARMAX, due to its higher percentage of best fit.
机译:本文提到了利用一种新的方法通过识别方法对工业生产系统进行建模的可能性。研究的生产系统被视为黑匣子,不需要任何内部参数知识。概述并比较了线性参数模型的两种结构,即外生自回归(ARX)模型和外生自回归移动平均(ARMAX)模型。最佳线性模型是ARMAX,因为其最佳拟合百分比更高。

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