Reduced-order modeling for RF/microwave CAD

被引：0
|
作者：
Mijalkovic, S [1 ]
机构：
[1] Delft Univ Technol, DIMES, Fac Elect Engn Math & Comp Sci, Dept Microelect,HiTeC Lab, NL-2600 AA Delft, Netherlands
来源：
2004 24TH INTERNATIONAL CONFERENCE ON MICROELECTRONICS, PROCEEDINGS, VOLS 1 AND 2 | 2004年
关键词：
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
The principles for model order reduction of large linear problems in RF/microwave CAD applications are presented. An alternative practical approach for the creation of projection subspaces is proposed and compared to moment matching methods. Computational results show that for the same order of reduction the proposed approach accurately capture the solution behavior in a much wider frequency range then the standard moment matching Krylov subspace methods.
引用
收藏
页码：269 / 272
页数：4
相关论文
共 50 条
  • [21] Passive reduced-order modeling of electromagnetic systems
    Cangellaris, AC
    Zhao, L
    COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING, 1999, 169 (3-4) : 345 - 358
  • [22] Adaptive sampling strategies for reduced-order modeling
    Karcher N.
    Franz T.
    CEAS Aeronautical Journal, 2022, 13 (02) : 487 - 502
  • [23] Reduced-order modeling for energy performance contracting
    Giretti, A.
    Vaccarini, M.
    Casals, M.
    Macarulla, M.
    Fuertes, A.
    Jones, R. V.
    ENERGY AND BUILDINGS, 2018, 167 : 216 - 230
  • [24] REDUCED-ORDER MODELING IN AIRCRAFT MISSION ANALYSIS
    KELLEY, HJ
    AIAA JOURNAL, 1971, 9 (02) : 349 - &
  • [25] Reduced-order modeling for nonlocal diffusion problems
    Witman, David R.
    Gunzburger, Max
    Peterson, Janet
    INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN FLUIDS, 2017, 83 (03) : 307 - 327
  • [26] Nonlinear Reduced-Order Modeling with Monotonicity Property
    Chaturantabut, Saifon
    NUMERICAL COMPUTATIONS: THEORY AND ALGORITHMS (NUMTA-2016), 2016, 1776
  • [27] Reduced-Order Modeling of Deep Neural Networks
    Gusak, J.
    Daulbaev, T.
    Ponomarev, E.
    Cichocki, A.
    Oseledets, I
    COMPUTATIONAL MATHEMATICS AND MATHEMATICAL PHYSICS, 2021, 61 (05) : 774 - 785
  • [28] Optimal Reduced-order Modeling of Bipedal Locomotion
    Chen, Yu-Ming
    Posa, Michael
    2020 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION (ICRA), 2020, : 8753 - 8760
  • [29] Reduced-Order Modeling of Deep Neural Networks
    J. Gusak
    T. Daulbaev
    E. Ponomarev
    A. Cichocki
    I. Oseledets
    Computational Mathematics and Mathematical Physics, 2021, 61 : 774 - 785
  • [30] OPTIMAL CHAINED AGGREGATION FOR REDUCED-ORDER MODELING
    KWONG, CP
    INTERNATIONAL JOURNAL OF CONTROL, 1982, 35 (06) : 965 - 982
12345