Improving analog simulation speed using selective matrix update

Author

Kher, Sameer S. ; Carter, Harold W.

Author_Institution

Distributed Process. Lab., Cincinnati Univ., OH, USA

fYear

2003

fDate

7-8 Oct. 2003

Firstpage

97

Lastpage

101

Abstract

Dynamic systems of nonlinear differential algebraic equations (DAE) are used to model a large class of engineering and biological systems. The two most time consuming processes in the direct method for analysis of nonlinear DAE sets are found to be the Jacobian matrix formulation and the linear system solution. Methods are presented here to significantly reduce Jacobian matrix formulation times, and hence improve simulation speeds, by selective update of the Jacobian matrix.

Keywords

Jacobian matrices; Newton-Raphson method; SPICE; analogue circuits; analogue simulation; nonlinear differential equations; Jacobian matrix formulation; analog simulation speed; biological system; dynamic system; engineering system; linear system solution; nonlinear differential algebraic equation; selective matrix update; Analytical models; Biological system modeling; Circuit simulation; Difference equations; Differential algebraic equations; Distributed processing; Jacobian matrices; Linear systems; Performance analysis; Vectors;

fLanguage

English

Publisher

ieee

Conference_Titel

Behavioral Modeling and Simulation, 2003. BMAS 2003. Proceedings of the 2003 International Workshop on

Print_ISBN

0-7803-8135-1

Type

conf

DOI

10.1109/BMAS.2003.1249865

Filename

1249865