• DocumentCode
    709050
  • Title

    Dynamic analysis of power delivery network with nonlinear components using matrix exponential method

  • Author

    Hao Zhuang ; Ilgweon Kang ; Xinan Wang ; Jeng-Hau Lin ; Chung-kuan Cheng

  • Author_Institution
    Dept. of Comput. Sci. & Eng., Univ. of California, San Diego, La Jolla, CA, USA
  • fYear
    2015
  • fDate
    15-21 March 2015
  • Firstpage
    248
  • Lastpage
    252
  • Abstract
    In this work, we propose a matrix exponential-based time-integration algorithm for dynamic analysis of power delivery network (PDN) with nonlinear components. The presented method is an explicit method and is very competitive for applications compared to traditional low order approximation methods, such as backward Euler method with Newton-Raphson iterations (BE). The proposed method takes comparable number of time steps to complete the whole simulation. Second, the method takes only one LU decomposition per time step while BE requires at least two LU decompositions for the convergence check of solutions of nonlnear system. Moreover, our method does not need to repeat expensive LU decomposition operations when the length of time steps are adjusted for error controls. The experimental results validate our method´s efficiency. We observe the reductions of total LU operation number and the simulation runtime.
  • Keywords
    Newton-Raphson method; approximation theory; convergence; nonlinear network analysis; LU decomposition; Newton-Raphson iteration; PDN; approximation method; backward Euler method; convergence check; dynamic analysis; lower upper decomposition; matrix exponential-based time integration algorithm; nonlinear component; power delivery network; Approximation methods; Capacitance; Computational modeling; Handheld computers; Integrated circuit modeling; Matrix decomposition; Time-domain analysis; Krylov subspace; Power delivery network; circuit simulation; matrix exponential method;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electromagnetic Compatibility and Signal Integrity, 2015 IEEE Symposium on
  • Conference_Location
    Santa Clara, CA
  • Print_ISBN
    978-1-4799-1992-5
  • Type

    conf

  • DOI
    10.1109/EMCSI.2015.7107694
  • Filename
    7107694