Passive model order reduction for interconnect networks with large number of ports

M. Ma, R. Khazaka
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引用次数: 6

Abstract

This paper presents a method of model order reduction (MOR) for linear interconnect systems with large numbers of output ports. Model order reduction techniques have proven to be very effective for the simulation of large interconnect networks. However, using current MOR techniques, the size of the reduced system grows rapidly as the number of ports increase. This leads to a severe reduction in efficiency. In this paper, a reduction method is proposed, which is based on imposing practical restrictions on the loads that can be connected to the ports of the network. By exploiting the information on the output ports and utilizing parametric model order reduction techniques, the resulting reduced model is much less sensitive to the number of ports and therefore is significantly smaller than standard reduced models. Examples are presented that demonstrate the accuracy and efficiency of the new method.
具有大量端口的互连网络的无源模型降阶
针对具有大量输出端口的线性互连系统,提出了一种模型阶数降阶方法。模型降阶技术已被证明是非常有效的模拟大型互连网络。然而,使用当前的MOR技术,随着端口数量的增加,缩小后的系统的大小会迅速增长。这导致了效率的严重降低。本文提出了一种基于对可连接到网络端口的负载施加实际限制的减少方法。通过利用输出端口上的信息并利用参数化模型降阶技术,得到的降阶模型对端口数量的敏感性大大降低,因此明显小于标准降阶模型。算例验证了该方法的准确性和有效性。
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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