Stochastic based extended Krylov subspace method for power/ground network analysis

被引:0
|
作者
Yuan, Xiaolong [1 ]
Fan, Jeffrey [2 ]
Liu, Bao [3 ]
Tan, Sheldon X. -D. [4 ]
机构
[1] Beijing Jiaotong Univ, Sch Elect & Informat Engn, Beijing 100044, Peoples R China
[2] Florida Int Univ, Dept ECE, Miami 33174, FL USA
[3] Univ Calif San Diego, Dept ECE, La Jolla, CA 92093 USA
[4] Univ Calif Riverside, Dept EE, Riverside, CA 92521 USA
关键词
D O I
10.1109/ICASIC.2007.4415825
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
In this paper, we present a novel stochastic simulation approach based on extended Krylov subspace method for on-chip power grid analysis. The new, method performs the analysis by using random walk in a stochastic manner. But different from the existing random walk method, the moments of the circuits are computed and extended Krylov Subspace (EKS) method is used to calculate the responses in frequency domain. The new method can compute the transient responses in a local manner, which is in contrast to the existing random walk method [121, thus improves the existing frequency-domain random walk method [4] by using extended Krylov subspace method. The resulting method is more numerically stable and faster than existing random walk methods. Experimental results demonstrate the advantages of the proposed method, called rwEKS, over EKS method for localized power grid analysis.
引用
收藏
页码:1100 / 1103
页数:4
相关论文
共 50 条
  • [21] Reduction of Power System Dynamic Model Using Krylov Subspace Method
    Sun, Yingyun
    Dong, Jingyuan
    Pu, Tianjiao
    Yu, Ting
    2014 INTERNATIONAL CONFERENCE ON POWER SYSTEM TECHNOLOGY (POWERCON), 2014,
  • [22] DOA estimation of LFM signal based on Krylov subspace method
    Maedeh FallahReyhani
    Hamidreza Bakhshi
    Hannan Lohrasbipeyde
    Telecommunication Systems, 2022, 79 : 271 - 278
  • [23] DOA estimation of LFM signal based on Krylov subspace method
    FallahReyhani, Maedeh
    Bakhshi, Hamidreza
    Lohrasbipeyde, Hannan
    TELECOMMUNICATION SYSTEMS, 2022, 79 (02) : 271 - 278
  • [24] Roundoff error analysis of algorithms based on Krylov subspace methods
    Arioli, M
    Fassino, C
    BIT NUMERICAL MATHEMATICS, 1996, 36 (02) : 189 - 205
  • [25] Efficient Matrix Exponential Method Based on Extended Krylov Subspace for Transient Simulation of Large-Scale Linear Circuits
    Chen, Quan
    Zhao, Wenhui
    Wong, Ngai
    2014 19TH ASIA AND SOUTH PACIFIC DESIGN AUTOMATION CONFERENCE (ASP-DAC), 2014, : 262 - 266
  • [26] An Exponential Transform Based Dual-Layer Krylov Subspace Method for Computing Unstable Modes of Power Systems
    Cao, Yulei
    Li, Chongtao
    Yan, Chenguang
    He, Tingyi
    Li, Shengnan
    IEEE TRANSACTIONS ON POWER SYSTEMS, 2023, 38 (02) : 1596 - 1607
  • [27] Stochastic Subspace Method for Experimental Modal Analysis
    Liu, Dazhi
    Xiang, Shuhong
    Fan, Shichao
    Li, Ye
    Liu, Zheng
    Sun, Jiangang
    2016 3RD INTERNATIONAL CONFERENCE ON MECHANICS AND MECHATRONICS RESEARCH (ICMMR 2016), 2016, 77
  • [28] Variable Preconditioned Krylov Subspace Method With Communication Avoiding Technique for Electromagnetic Analysis
    Ikuno, Soichiro
    Chen, Gong
    Itoh, Taku
    Nakata, Susumu
    Abe, Kuniyoshi
    IEEE TRANSACTIONS ON MAGNETICS, 2017, 53 (06)
  • [29] Boundary element analysis by Krylov subspace method on MIMD parallel multiprocessor system
    Ye, TQ
    Wang, RP
    Zhang, XS
    ENGINEERING ANALYSIS WITH BOUNDARY ELEMENTS, 1996, 18 (03) : 203 - 208
  • [30] Variable Preconditioned Krylov Subspace Method with Communication Avoiding Technique for Electromagnetic Analysis
    Ikuno, Soichiro
    Chen, Gong
    Itoh, Taku
    Nakata, Susumu
    Abe, Kuniyoshi
    2016 IEEE CONFERENCE ON ELECTROMAGNETIC FIELD COMPUTATION (CEFC), 2016,