複雑なトランジスタモデルを含む非線形抵抗回路網の区分的線形解析

書誌事項

タイトル別名
  • Piecewise-Linear Analysis of Nonlinear Resistive Networks Containing Gummel-Poon Models or Shichman-Hodges Models

この論文をさがす

説明

本論文では,Gummel-PoonモデルやShichman-Hodgesモデルなどの複雑なトランジスタモデルを含む非線形抵抗回路網の効率的な区分的線形解析アルゴリズムを提案する.これらのトランジスタモデルを含む回路方程式は,pairwise-separabilityと呼ばれる特殊な構造的性質をもつ.このような非線形写像に対する新しい区分的線形近似手法を導入し,アルゴリズムの計算効率を飛躍的に改善する.提案するアルゴリズムは非線形回路方程式に直接適用でき,大域的収束性があり,計算速度も速い.
Finding DC solutions of nonlinear networks is one of the most difficult tasks in circuit simulation,and many circuit designers experience difficulties in finding DC solutions using Newton′s met hod.Piecewise-linear analysis has been studied to overcome this difficulty.However,efficient piecewise-linear algorithms have not been proposed for nonlinear resistive networks containing the Gummel-Poon models or the Shichman-Hodges models.In this paper,a new piecewise-linear algorithm is presented for solving nonlinear resistive networks containing these sophisticated transistor models.The basic idea of the algorithm is to exploit the special structure of the nonlinear network equations,namely,the pairwise- separability.The proposed algorithm is globally convergent and much more efficient than the conventional simplicial-type piecewise-linear algorithms.

収録刊行物

詳細情報 詳細情報について

  • CRID
    1570854177376467712
  • NII論文ID
    110003198290
  • NII書誌ID
    AN10013094
  • 本文言語コード
    en
  • データソース種別
    • CiNii Articles

問題の指摘

ページトップへ