Symbolic-numeric circuit analysis or symbolic circuit analysis with online approximations

被引:4
|
作者
Katzenelson, J [1 ]
Unikovski, A
机构
[1] Technion Israel Inst Technol, Dept Elect Engn, IL-32000 Haifa, Israel
[2] Asicom Ltd, IL-31905 Haifa, Israel
关键词
analog circuits; approximated transfer functions for transistor circuits; symbolic analysis with approximation; symbolic circuit analysis;
D O I
10.1109/81.739266
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
This paper describes a method for obtaining simplified symbolic expressions for the transfer functions of analog electronic circuits and, in particular, analog transistor circuits, The circuits are modeled as linear lumped RLC electrical networks with dependent sources. Both the frequency and the values of the components appear as symbols in the transfer functions. The simplification is done by symbolic computation with approximations taking place during the computation, The method has three essential parts of the method. 1) The user partitions the network to modules satisfying mismatch conditions (to the first approximation). The transfer functions of each module are evaluated and the results are combined to form the transfer functions of the network, 2) A nominal value is associated with each component; R1 >> R2 if and only if the absolute nominal value of R1 is "much larger" than the absolute nominal value of R2; When R1 + R2 is evaluated, RI is returned if R1 >> R2. The relation >> is defined between functions of the frequency as well as between values, 3) Whenever possible, polynomials are represented as a product of lower order polynomials. When the lower order polynomials are of order one or two, poles or zeros are available in symbolic form. This paper presents transistor circuit examples computed by the SCHEME program which implements the method.
引用
收藏
页码:197 / 207
页数:11
相关论文
共 50 条
  • [21] Symbolic-Numeric Algorithms for Computer Analysis of Spheroidal Quantum Dot Models
    Gusev, A. A.
    Chuluunbaatar, O.
    Gerdt, V. P.
    Rostovtsev, V. A.
    Vinitsky, S. I.
    Derbov, V. L.
    Serov, V. V.
    [J]. COMPUTER ALGEBRA IN SCIENTIFIC COMPUTING, 2010, 6244 : 106 - +
  • [22] Symbolic-Numeric Reachability Analysis of Closed-Loop Control Software
    Zutshi, Aditya
    Sankaranarayanan, Sriram
    Deshmukh, Jyotirmoy V.
    Jin, Xiaoqing
    [J]. HSCC'16: PROCEEDINGS OF THE 19TH INTERNATIONAL CONFERENCE ON HYBRID SYSTEMS: COMPUTATION AND CONTROL, 2016, : 135 - 144
  • [23] THE SYMBOLIC-NUMERIC INTERFACE - A ZOSTERIC APPROACH
    DANES, P
    AGUILARMARTIN, J
    [J]. APPLIED ARTIFICIAL INTELLIGENCE, 1995, 9 (05) : 451 - 478
  • [24] What is hybrid symbolic-numeric computation?
    Kaltofen, Erich
    [J]. 13TH INTERNATIONAL SYMPOSIUM ON SYMBOLIC AND NUMERIC ALGORITHMS FOR SCIENTIFIC COMPUTING (SYNASC 2011), 2012, : 11 - 11
  • [25] Analysis of network dynamics including hidden variables by symbolic-numeric approach
    Tominaga, Daisuke
    Tokumoto, Yasuhito
    Nakatsui, Masahiko
    Sun, Fuyan
    Miyake, Jun
    Horimoto, Katsuhisa
    [J]. OPTIMIZATION AND SYSTEMS BIOLOGY, PROCEEDINGS, 2008, 9 : 242 - +
  • [26] SYMBOLIC CIRCUIT ANALYSIS USING MATHEMATICA
    TENG, JF
    FIDLER, JK
    SUN, YC
    [J]. INTERNATIONAL JOURNAL OF ELECTRICAL ENGINEERING EDUCATION, 1994, 31 (04) : 324 - 333
  • [27] FACTORIZATION ALGORITHM FOR SYMBOLIC CIRCUIT ANALYSIS
    PETKOVIC, P
    STOJILKOVIC, S
    LITOVSKI, V
    [J]. ELECTRONICS LETTERS, 1995, 31 (13) : 1026 - 1027
  • [28] Mathematical Geosciences: Hybrid Symbolic-Numeric Methods
    Geist, Eric L.
    [J]. PURE AND APPLIED GEOPHYSICS, 2020, 177 (07) : 3543 - 3544
  • [29] Generation and verification of algorithms for symbolic-numeric processing
    Kocbach, L
    Liska, R
    [J]. JOURNAL OF SYMBOLIC COMPUTATION, 1998, 25 (03) : 367 - 382
  • [30] Symbolic-numeric sparse interpolation of multivariate polynomials
    Giesbrecht, Mark
    Labahn, George
    Lee, Wen-shin
    [J]. JOURNAL OF SYMBOLIC COMPUTATION, 2009, 44 (08) : 943 - 959