An Adaptive Sampling Technique for Passivity Characterization and Enforcement of Large Interconnect Macromodels

By Stefano Grivet-Talocia. IEEE Transactions on Advanced Packaging, 2007

57 citations recorded by the source corpus.

Subfields: Astronomy and Astrophysics, Electrical and Electronic Engineering, Materials Chemistry

View Paper: https://www.semanticscholar.org/paper/ee1094268ee3e055e31294c84b95a416d115095d

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Citations in the corpus

Passivity Enforcement With Relative Error Control (2007, methodology): “Therefore, estimates based on adaptive sampling [25] are preferred.”
Designing and Modeling for Power Integrity (2010, unknown): “Two other suboptimal algorithms are available, namely 1) passivity enforcement at discrete frequency points via linear or quadratic programming [59], [61], [62], [66]–[70], or 2) iterative perturbation of the imaginary eigenvalues of the Hamiltonian matrix associated to the model [58]–[62], [71].”
A Parameterized Macromodeling Strategy With Uniform Stability Test (2009, background): “For the nonparameterized case, a large number of results have been published over the last few years on the subject of macromodel generation/identification, addressing the stability, causality, and passivity issues (see, e.g., [1]‐[ 18 ] and references therein).”
A Comparative Study of Passivity Enforcement Schemes for Linear Lumped Macromodels (2008, unknown): “At each iteration, an adaptive sampling [27] of the frequency-dependent eigenvalues is performed, and passivity is enforced using (23) at the frequency samples where the”
Fast Passivity Enforcement for Pole-Residue Models by Perturbation of Residue Matrix Eigenvalues (2008, background): “In such situations, one can resort to frequency sweeping as in [15], or even better to calculate only the (few) purely imaginary eigenvalues [30], [31].”
A Half-Size Singularity Test Matrix for Fast and Reliable Passivity Assessment of Rational Models (2010, background): “It has therefore been proposed to save time by calculating only the (few) purely imaginary eigenvalues via a multishift restarted Arnoldi process [16], [17], but a reliable implementation remains a difficult task.”