Closed-loop identification of multivariable processes with part of the inputs controlled

M. Leskens, P. V. D. Hof
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引用次数: 12

Abstract

In many multivariable industrial processes a subset of the available input signals is being controlled. In this paper it is analyzed in which sense the resulting partial closed-loop identification problem is actually a full closed-loop problem, or whether one can benefit from the presence of noncontrolled inputs to simplify the identification problem. The analysis focuses on the bias properties of the plant estimate when applying the direct method of prediction error identification, and the possibilities to identify (parts of) the plant model without the need of simultaneously estimating full-order noise models.
部分输入被控制的多变量过程的闭环辨识
在许多多变量工业过程中,可用输入信号的子集被控制。本文分析了在何种意义上所得到的部分闭环辨识问题实际上是一个全闭环问题,或者是否可以从非控制输入的存在中获益以简化辨识问题。重点分析了应用直接预测误差识别方法时植物估计的偏差特性,以及在不需要同时估计全阶噪声模型的情况下识别植物模型(部分)的可能性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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