• DocumentCode
    3016696
  • Title

    ENOR: model order reduction of RLC circuits using nodal equations for efficient factorization

  • Author

    Sheehan, Bernard N.

  • Author_Institution
    Mentor Graphics Corp., Wilsonville, OR, USA
  • fYear
    1999
  • fDate
    1999
  • Firstpage
    17
  • Lastpage
    21
  • Abstract
    ENOR is an innovative way to produce provably-passive, reciprocal, and compact representations of RLC circuits. Beginning with the nodal equations, ENOR formulates recurrence relations for the moments that involve factorizing a symmetric, positive definite matrix; this contrasts with other RLC order reduction algorithms that require expensive LU factorization. It handles floating capacitors, inductor loops, and resistor links in a uniform way. It distinguishes between active and passive ports, does Gram-Schmidt orthogonalization on the fly, controls error in the time-domain. ENOR is a superbly simple, flexible, and well-conditioned algorithm for lightning reduction of mega-sized RLC trees, meshes, and coupled interconnects-all with excellent accuracy
  • Keywords
    circuit analysis computing; interconnections; method of moments; passive networks; reduced order systems; time-domain analysis; ENOR; Gram-Schmidt orthogonalization; LU factorization; RLC circuits; coupled interconnects; error; factorization; floating capacitors; inductor loops; mega-sized RLC trees; meshes; model order reduction; nodal equations; order reduction algorithms; passive reciprocal compact representation; recurrence relations; resistor links; symmetric positive definite matrix; time-domain; Capacitors; Difference equations; Error correction; Inductors; Lightning; Optical coupling; RLC circuits; Resistors; Symmetric matrices; Time domain analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Design Automation Conference, 1999. Proceedings. 36th
  • Conference_Location
    New Orleans, LA
  • Print_ISBN
    1-58113-092-9
  • Type

    conf

  • DOI
    10.1109/DAC.1999.781223
  • Filename
    781223