基于特征值贡献度量的新型投入产出配对

A. Ahmadi, M. Aldeen
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引用次数: 3

摘要

本文提出了一种基于可控性和可观测性相结合的新方法来量化稳定和不稳定线性多变量系统的输入和输出之间的相互作用。该方法计算系统特征值在输出中的贡献,并建立相对贡献数组(Relative contribution Array, RCA)来量化输入输出相互作用,选择最合适的输入输出对集合。所提出的方法比现有的已知方法有许多优点,这是通过一个广泛报道的化学过程的数值例子来说明的,其中传统的RGA被证明会导致不正确的配对,而所提出的方法会导致更准确的相互作用评估。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
New input-output pairing based on eigenvalue contribution measures
In this paper, a new approach based on the concept of combined controllability and observability is proposed to quantify the interaction among the inputs and outputs of both stable and unstable linear multivariable systems. The proposed approach computes the contribution of the system eigenvalues in the outputs and formulates a Relative Contribution Array (RCA) to quantify the input-output interactions and select the most appropriate set of input-output pairs. The proposed approach has many advantages over existing well known approaches, which are illustrated through a widely reported numerical example of a chemical process where conventional RGA is shown to lead to improper pairings while the proposed approach leads to far more accurate assessment of interaction.
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