Passive reduced-order models for interconnect simulation and their computation via Krylov-subspace algorithms

Abstract

This paper studies a projection technique based on block Krylov subspaces for the computation of reduced-order models of multi-port RLC circuits. We show that these models are always passive, yet they still match at least half as many moments as the corresponding reduced-order models based on matrix-Pade approximation. For RC, RL, and LC circuits, the reduced-order models obtained by projection and matrix-Pade approximation are identical. For general RLC circuits, we show how the projection technique can easily be incorporated into the SyMPVL algorithm to obtain passive reduced-order models, in addition to the high-accuracy matrix-Pade approximations that characterize SyMPVL, at essentially no extra computational costs. Connections between SyMPVL and the recently proposed reduced-order modeling algorithm PRIMA are also discussed. Numerical results for interconnect simulation problems are reported.