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Passivity-preserving model order reduction of linear time-varying macromodels

机译:线性时变宏尺寸的被动保持模型顺序减少

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We study model order reduction (MOR) of continuous-time linear time-varying (LTV) systems. Examples include circuit or interconnect models found in VLSI marco-modeling. Specifically, a time-varying version of positive-real balanced truncation (PRBT), called LTV PRBT, is proposed, which preserves the passivity of LTV systems for stable global simulation. Implementation details are discussed together with a brief outline of a discrete-time counterpart of LTVPRBT. Dynamically changing state dimension is allowed for accurate modeling at the lowest possible order. Numerical examples then verify the effectiveness of the proposed approach over existing LTV MOR methods.
机译:我们研究连续时间线性时变(LTV)系统的模型顺序减少(MOR)。示例包括在VLSI Marco建模中找到的电路或互连模型。具体地,提出了一种被称为LTV PRBT的正实际平衡截断(PRBT)的时变版本,其保留了LTV系统的稳定性仿真的钝化性。实施细节与LTVPRBT的离散时间对应部分的简要概要进行讨论。允许以最低可能的顺序进行动态改变状态维度。数值例子然后验证所提出的方法对现有LTV MOR方法的有效性。

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