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TWO-DIMENSIONAL STATE SPACE MODEL FOR PARTIAL DIFFERENTIAL EQUATIONS AND ITS SOLUTION

机译:偏微分方程的二维状态空间模型及其解

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摘要

In this paper, Multi-Dimensional (M-D) state space model has been used to represent Partial Differential Equations (PDE). Several Models have been proposed for characterizing M-D maps. All models have an obvious iterative characteristic and show a quarter plane causal property. The models can be transformed to each other, so without loss of generality Fornasini-Marchesini (P.M.) model is considered as a description of a PDE and its solution is obtained. However, once the analysis for 2-D is done, the conceptual extension of methods to M-D is not difficult. As an example a wave equation is solved with different methods and results are compared with the multi-dimensional system approach. It is shown that multi-dimensional approach gives competitive results with other methods.
机译:在本文中,多维(M-D)状态空间模型已用于表示偏微分方程(PDE)。已经提出了几种用于表征M-D图的模型。所有模型都具有明显的迭代特性,并显示四分之一平面因果关系。这些模型可以相互转换,因此在不失去通用性的前提下,Fornasini-Marchesini(P.M.)模型被视为对PDE的描述,并获得了其解。但是,一旦完成了对2-D的分析,将方法扩展到M-D的概念并不困难。例如,用不同的方法求解波动方程,并将结果与​​多维系统方法进行比较。结果表明,多维方法与其他方法相比具有竞争优势。

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