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Elementary Operation Approach to Order Reduction for Roesser State-Space Model of Multidimensional Systems

机译:多维系统Roesser状态空间模型降阶的基本运算方法

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摘要

This paper proposes a new order reduction approach for Roesser state-space model of multidimensional ( $n$-D) systems based on elementary operations, by inversely applying the basic idea adopted in the new elementary operation approach to the Roesser model realization of $n$-D systems. It will be shown first that the $n$-D order reduction problem can be formulated into an elementary operation problem of an $n$-D polynomial matrix obtained from the coefficient matrices of the given Roesser model. Based on this problem formulation, a basic order reduction procedure and three techniques are presented, by which the intrinsic relationship among the blocks with respect to different variables can be investigated to achieve a further possible order reduction. It turns out that the new proposed approach is applicable to a wider class of Roesser models than the existing reduction approaches and provides a possible way to explore the equivalence between two systems. Examples are given to illustrate the main idea as well as the effectiveness of the proposed approach.
机译:本文通过将新的基本运算方法中采用的基本思想逆向应用于$ n的Roesser模型实现,提出了一种基于基本运算的多维($ n $ -D)系统Roesser状态空间模型的阶降阶方法。 $ -D系统。首先将显示,可以将$ n $ -D阶约化问题表达为从给定Roesser模型的系数矩阵获得的$ n $ -D多项式矩阵的基本运算问题。基于该问题的表述,提出了一种基本的降阶程序和三种技术,通过这些技术,可以研究块之间相对于不同变量的内在关系,以实现进一步可能的降阶。事实证明,与现有的归约方法相比,新提出的方法适用于更广泛的Roesser模型类别,并且为探讨两个系统之间的等效性提供了一种可能的方法。举例说明了主要思想以及所提出方法的有效性。

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