• DocumentCode
    2532952
  • Title

    A new always cancellation-free approach to the multilevel symbolic analysis for very large electric networks

  • Author

    Lasota, Slawomir

  • Author_Institution
    Inst. of Electron., Silesian Univ. of Technol., Gliwice, Poland
  • fYear
    2012
  • fDate
    18-21 Sept. 2012
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    The paper presents an algorithm of the exact symbolic network function analysis that deals with circuits with any size. The only condition is to decompose the whole circuit into smaller sub-circuits. The decomposition is the multi-level hierarchical one. What is more, the calculation for each level can be done only once and the partial results can be reused any time. A higher level subcircuit does not need too much information about a lower one. The method can be easily implemented in multiprocessor or distributed systems. Although multilevel and compressed structure, symbolical value remains cancellation-free and any path from the root to the terminal vertex represent a single term. Thus, a large-scale and small-scale sensitivities calculation and elimination of less significant terms become simply and natural. To get the s-Expanded form, the fast algorithm based on sparse polynomial multiplication methods can be applied.
  • Keywords
    network analysis; polynomials; S-expanded form; cancellation-free approach; compressed structure; distributed systems; higher level subcircuit; multilevel symbolic analysis; multiprocessor; small-scale sensitivity calculation; sparse polynomial multiplication methods; symbolic network function analysis; terminal vertex; very large electric networks; Admittance; Algorithm design and analysis; Gold; Indium phosphide; Integrated circuit modeling; Polynomials; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signals and Electronic Systems (ICSES), 2012 International Conference on
  • Conference_Location
    Wroclaw
  • Print_ISBN
    978-1-4673-1710-8
  • Electronic_ISBN
    978-1-4673-1709-2
  • Type

    conf

  • DOI
    10.1109/ICSES.2012.6382244
  • Filename
    6382244