Automatic Nonlinear Behavioral Model Generation using Sequential Equation Structures

In: SMACD 2006 - International Workshop on Symbolic Methods and Applications to Circuit Design. Università degli Studi di Firenze, September, 2006

Authors

• Ralf Sommer
• Daniel Platte
• Jochen Broz
• Alexander Dreyer
• Thomas Halfmann and Erich Barke

Abstract

This paper is dedicated to methodologies for improving the simulation speed of automated bottom-up generated behavioral models. Starting from a modeling flow based on the application of symbolic analysis, the generation and approximation of nonlinear dynamic circuit equations will be presented. Currently, the simulation performance for this kind of models is often a crucial issue. In a detailed analysis and comparison to netlist-based simulation it will be shown how 'simulator-friendly' formulated behavioral models can be obtained. The key will be the introduction of sequential equation structures: their definition, identification, and application will be presented in this contribution.

BibTeX

 
@InProceedings{ SeqSMACD06, 
   title = { Automatic Nonlinear Behavioral Model Generation using Sequential Equation Structures }, 
   author = { Ralf Sommer and Daniel Platte and Jochen Broz and Alexander Dreyer and  Thomas Halfmann and Erich Barke },   
   booktitle = { SMACD 2006 - International Workshop on Symbolic Methods and Applications to Circuit Design },       
   school = { Università degli Studi di Firenze },      
   month = sep, 
   year = 2006, 
} 

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This publication belongs to the project VerSiS.