• DocumentCode
    1517795
  • Title

    Electromagnetic model order reduction for system-level modeling

  • Author

    Cangellaris, Andreas C. ; Celik, Mustafa ; Pasha, Soheila ; Zhao, Li

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Illinois Univ., Urbana, IL, USA
  • Volume
    47
  • Issue
    6
  • fYear
    1999
  • fDate
    6/1/1999 12:00:00 AM
  • Firstpage
    840
  • Lastpage
    850
  • Abstract
    Reduced-order modeling of an electromagnetic system is understood as the approximation of a continuous or discrete model of the system by one of substantially lower order, yet capable of capturing the electromagnetic behavior of the original one with sufficient engineering accuracy. Specific methodologies for model order reduction of distributed electromagnetic systems are discussed in this paper. It is shown that electromagnetic model order reduction enhances computational efficiency and, thus, facilitates system-level modeling and computer simulation of multifunctional systems. The proposed methodologies are demonstrated through applications to the reduced-order modeling of high-speed interconnects, electromagnetic waveguides, and microstrip antennas
  • Keywords
    finite difference methods; microstrip antennas; reduced order systems; transient analysis; waveguide theory; computational efficiency; distributed electromagnetic systems; electromagnetic behavior; electromagnetic model order reduction; electromagnetic waveguides; engineering accuracy; high-speed interconnects; microstrip antennas; multifunctional systems; reduced-order modeling; system-level modeling; Computational efficiency; Computational modeling; Computer simulation; Electromagnetic analysis; Electromagnetic modeling; Electromagnetic waveguides; Filters; Finite difference methods; Information processing; Microstrip antennas;
  • fLanguage
    English
  • Journal_Title
    Microwave Theory and Techniques, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9480
  • Type

    jour

  • DOI
    10.1109/22.769317
  • Filename
    769317