Mixed Quasi Newton Method for Simulation of Analog Circuits with Mixed Level Models
Summary :
Mixed Quasi Newton simulation algorithm that is capable of calculating analog circuits containing mixed level of element models is presented. Conventional circuit simulators usually apply Newton method to solve nonlinear system equations resulted from circuit equations. At each Newton iteration step, it is necessary to reevaluate the Jacobian stamp of circuit elements. However, obtaining the Jacobian stamp of elements described by complex behavior models is a computationally expensive process. To reduce the number of Jacobian evaluations, we combine Newton method and Quasi-Newton method as a new updating scheme. The simulation results show that our algorithm can reduce the number of Jacobian evaluations and improve the simulation time, particularly when simulating circuits containing many behavior model elements.
- Publication
- IEICE TRANSACTIONS on Fundamentals Vol.E80-A No.8 pp.1496-1501
- Publication Date
- 1997/08/25
- Publicized
- Online ISSN
- DOI
- Type of Manuscript
- Category
- Modeling and Simulation
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Sermsak UATRONGJIT, Nobuo FUJII, "Mixed Quasi Newton Method for Simulation of Analog Circuits with Mixed Level Models" in IEICE TRANSACTIONS on Fundamentals,
vol. E80-A, no. 8, pp. 1496-1501, August 1997, doi: .
Abstract: Mixed Quasi Newton simulation algorithm that is capable of calculating analog circuits containing mixed level of element models is presented. Conventional circuit simulators usually apply Newton method to solve nonlinear system equations resulted from circuit equations. At each Newton iteration step, it is necessary to reevaluate the Jacobian stamp of circuit elements. However, obtaining the Jacobian stamp of elements described by complex behavior models is a computationally expensive process. To reduce the number of Jacobian evaluations, we combine Newton method and Quasi-Newton method as a new updating scheme. The simulation results show that our algorithm can reduce the number of Jacobian evaluations and improve the simulation time, particularly when simulating circuits containing many behavior model elements.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/e80-a_8_1496/_p
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@ARTICLE{e80-a_8_1496,
author={Sermsak UATRONGJIT, Nobuo FUJII, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Mixed Quasi Newton Method for Simulation of Analog Circuits with Mixed Level Models},
year={1997},
volume={E80-A},
number={8},
pages={1496-1501},
abstract={Mixed Quasi Newton simulation algorithm that is capable of calculating analog circuits containing mixed level of element models is presented. Conventional circuit simulators usually apply Newton method to solve nonlinear system equations resulted from circuit equations. At each Newton iteration step, it is necessary to reevaluate the Jacobian stamp of circuit elements. However, obtaining the Jacobian stamp of elements described by complex behavior models is a computationally expensive process. To reduce the number of Jacobian evaluations, we combine Newton method and Quasi-Newton method as a new updating scheme. The simulation results show that our algorithm can reduce the number of Jacobian evaluations and improve the simulation time, particularly when simulating circuits containing many behavior model elements.},
keywords={},
doi={},
ISSN={},
month={August},}
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TY - JOUR
TI - Mixed Quasi Newton Method for Simulation of Analog Circuits with Mixed Level Models
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 1496
EP - 1501
AU - Sermsak UATRONGJIT
AU - Nobuo FUJII
PY - 1997
DO -
JO - IEICE TRANSACTIONS on Fundamentals
SN -
VL - E80-A
IS - 8
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - August 1997
AB - Mixed Quasi Newton simulation algorithm that is capable of calculating analog circuits containing mixed level of element models is presented. Conventional circuit simulators usually apply Newton method to solve nonlinear system equations resulted from circuit equations. At each Newton iteration step, it is necessary to reevaluate the Jacobian stamp of circuit elements. However, obtaining the Jacobian stamp of elements described by complex behavior models is a computationally expensive process. To reduce the number of Jacobian evaluations, we combine Newton method and Quasi-Newton method as a new updating scheme. The simulation results show that our algorithm can reduce the number of Jacobian evaluations and improve the simulation time, particularly when simulating circuits containing many behavior model elements.
ER -
English
