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This paper applies a reliable and efficient algorithm for passivity enforcement of common-pole multiport S-parameter macromodels. It ensures that the maximum passivity violation decreases monotonically in each iteration step, and convergence to a uniformly passive macromodel is guaranteed.
Vector fitting is a robust macromodeling technique for transfer function synthesis in the frequency domain. This paper introduces a new MATLAB routine, called vectfit3.m, which is an implementation of the fast relaxed vector fitting (Fast RVF) method. This routine computes a common-pole rational function approximation from tabulated frequency responses and combines the benefits of relaxation and a...
This paper introduces a constrained vector fitting algorithm which can directly identify a passive driving point function (impedance or admittance) from frequency domain data. The proposed positive fractions vector fitting (PFVF) algorithm formulates the residue identification step as a convex programming problem, while the pole identification step follows the unaltered standard Vector Fitting procedure...
Vector fitting is a rational approximation technique, which is frequently used to calculate accurate macromodels of electrical and electronical structures. The robustness of the technique is obtained by combining the use of a weighted iterative least squares scheme and a well-chosen partial fraction basis. It was discussed in that numerical problems may occur if poles of higher-order multiplicities...
A simple rule of thumb is proposed for automatic model order estimation of the rational macromodels for passive components and systems. Based on an analysis of the dynamic behavior of the (measured or simulated) frequency domain scattering parameters, upper and lower bounds for the number of poles are proposed. Several interconnection examples with different complexity are presented to illustrate...
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