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H_2 optimal model order reduction on the Stiefel manifold for the MIMO discrete system by the cross Gramian

机译:交叉格拉姆文在MIMO离散系统的Stiefel流形上的H_2最优模型阶约化

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In this paper, the H-2 optimal model order reduction method for the large-scale multiple-input multiple-output (MIMO) discrete system is investigated. First, the MIMO discrete system is resolved into a number of single-input single-output (SISO) subsystems, and the H-2 norm of the original MIMO discrete system is expressed by the cross Gramian of each subsystem. Then, the retraction and the vector transport on the Stiefel manifold are introduced, and the geometric conjugate gradient model order reduction method is proposed. The reduced system of the original MIMO discrete system is generated by using the proposed method. Finally, two numerical examples show the efficiency of the proposed method.
机译:本文研究了大规模多输入多输出(MIMO)离散系统的H-2最优模型降阶方法。首先,将MIMO离散系统分解为多个单输入单输出(SISO)子系统,并通过每个子系统的交叉Gramian表示原始MIMO离散系统的H-2范数。然后,介绍了Stiefel流形上的缩进和矢量输运,并提出了几何共轭梯度模型降阶方法。利用提出的方法生成了原始MIMO离散系统的简化系统。最后,两个数值算例表明了该方法的有效性。

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