一种补偿宏模型无源性的快速凸优化方法

doi:10.3969/j.issn.1001-2400.2012.01.012

Abstract

Abstract:

In the traditional convex optimization based method, the number of free variables is large, which will lead to demanding computations. Based on this consideration, a fast convex optimization method is proposed in this paper. The initial value of the energy matrix is determined before optimization with only some degrees of freedom. This procedure can reduce 60％ of the number of free variables, which can greatly increase the efficiency of the method. Numerical examples show that the simulation time required by the proposed method is less than 1/30 that of the traditional method with high accuracy.

Key words: signal integrity, macromodel, passivity enforcement, algebraic Riccati equation, convex optimization

GAO Song;LI Yushan;YAN Xu. Fast convex optimization method for passivity enforcement of macromodels[J].J4, 2012, 39(1): 62-66+121.

References

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Fast convex optimization method for passivity enforcement of macromodels

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