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A new order reduction approach based on elementary operation for Roesser state-space model

机译:Roesser状态空间模型的一种基于基本运算的降阶方法

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In this paper, a new order reduction approach will be proposed for Roesser state-space model of multidimensional (n-D) systems based on the elementary operation order reduction approach proposed by the co-authors very recently. It will be shown that the n-D order reduction problem can be formulated again into an elementary operation problem of an well-initialized n-D polynomial matrix but the standard objective matrix has a more general form than the existing one. As a consequence, the existing elementary operation order reduction approach can be viewed as a special case of the new proposed approach. Moreover, a basic order reduction procedure is presented and corresponding examples are given to illustrate the details as well as the effectiveness of the proposed approach.
机译:在这篇论文中,基于共同作者最近提出的基本运算阶数减少方法,将为多维(n-D)系统的Roesser状态空间模型提出一种新的阶数减少方法。可以看出,可以将n-D阶约简问题再次表述为一个很好初始化的n-D多项式矩阵的基本运算问题,但是标准目标矩阵比现有的具有更通用的形式。因此,可以将现有的基本操作顺序减少方法视为新提议方法的特例。此外,提出了一种基本的降阶程序,并给出了相应的例子来说明所提方法的细节和有效性。

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