To achieve efficient multi-port model order reduction, a multi-port Cauer ladder network (CLN) method is formulated that directly yields resistance and inductance matrices that constitute the network elements in the matrix Cauer form. The eddy-current field driven by multiple power sources is accurately reconstructed using a small number of network elements. The matrix Cauer form achieves faster convergence of the transfer function than a single-port CLN method and almost the same convergence as a block Padé via Lanczos (PVL) method.

中文翻译：

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使用矩阵 Cauer 梯形网络减少多端口模型阶数


为了实现高效的多端口模型降阶，提出了一种多端口考尔梯形网络（CLN）方法，该方法直接生成构成矩阵考尔形式网络元素的电阻和电感矩阵。使用少量网络元件精确地重建由多个电源驱动的涡流场。矩阵 Cauer 形式比单端口 CLN 方法实现了传递函数更快的收敛，并且与块 Padé via Lanczos (PVL) 方法几乎具有相同的收敛性。