Operator-based model-order reduction of linear periodically time-varying systems

  • Authors:
  • Yayun Wan;Jaijeet Roychowdhury

  • Affiliations:
  • University of Minnesota, Minneapolis, MN;University of Minnesota, Minneapolis, MN

  • Venue:
  • Proceedings of the 42nd annual Design Automation Conference
  • Year:
  • 2005

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Abstract

Linear periodically time-varying (LPTV) abstractions are useful for a variety of communication and computer subsystems. In this paper, we present a novel operator-based model-order reduction (MOR) algorithmfor reducing large LPTVsystems to smaller ones, a capability useful for system-level performance analysis. Our procedure is based on generalizing existing matrix-based Krylov-subspace algorithms to arbitrary function-space operators. Practical benefits of our approach include significantly enhanced algorithm and code modularity, compared to previous LPTV-MOR approaches based on a-priori discretization. We demonstrate the use of the proposed technique on several circuit examples.