Model order reduction for MIMO linear dynamical networks via Reaction-Diffusion transformation

T. Ishizaki, K. Kashima, J. Imura, K. Aihara
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引用次数: 5

Abstract

In this paper, we propose a model order reduction method for MIMO linear dynamical networks, where a large number of subsystems interact according to a network. In this method, a spatially one-dimensional reaction-diffusion structure, which can be efficiently exploited even for large-scale systems, is fully utilized. We give a simple algorithm as well as a computable error bound in terms of the H∞-norm.
基于反应扩散变换的MIMO线性动态网络模型降阶
本文提出了一种MIMO线性动态网络的模型降阶方法,其中大量的子系统按照一个网络相互作用。该方法充分利用了空间上一维的反应扩散结构,这种结构即使在大尺度系统中也能被有效地利用。我们给出了一个简单的算法和一个可计算的H∞范数误差界。
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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