Model Reduction in the Time-Domain Using Laguerre Polynomials and Krylov Methods

  • Authors:
  • Y. Chen;V. Balakrishnan;C. Koh;K. Roy

  • Affiliations:
  • ECE, Purdue University, West Lafayette, IN;ECE, Purdue University, West Lafayette, IN;ECE, Purdue University, West Lafayette, IN;ECE, Purdue University, West Lafayette, IN

  • Venue:
  • Proceedings of the conference on Design, automation and test in Europe
  • Year:
  • 2002

Quantified Score

Hi-index 0.01

Visualization

Abstract

We present a new passive model reduction algorithm basedon the Laguerre expansion of the time response of inter-connectnetworks. We derive expressions for the Laguerrecoefficient matrices that minimize a weighted square of theapproximation error, and show how these matrices can becomputed efficiently using Krylov subspace methods. Wediscuss the connections between our method and other meth-odssuch as PRIMA [4]. Numerical simulations show thatour method can better approximate the original model ascompared to PRIMA.