True worst-case circuit tolerance analysis using genetic algorithms and affine arithmetic

Author

Femia, Nicola ; Spagnuolo, Giovanni

Author_Institution

Dipt. di Ingegneria dell´´Inf. ed Ingegneria Elettrica, Salerno Univ., Italy

Volume

47

Issue

9

fYear

2000

fDate

9/1/2000 12:00:00 AM

Firstpage

1285

Lastpage

1296

Abstract

In this paper, a new approach to the calculation of the true worst case in circuit tolerance analysis (TWC-CTA) with parameters characterized by large uncertainties is presented. It is based on the joint use of genetic algorithms (GAs) and affine arithmetic (AA). The GAs are used to minimize the underestimation error which affects stochastic methods while the AA is applied to minimize the overestimation error which affects interval arithmetic methods in TWC-CTA problems. The joint GA-AA approach presented in this paper ensures a reliable TWC evaluation.

Keywords

arithmetic; errors; genetic algorithms; network analysis; stochastic processes; tolerance analysis; transient analysis; affine arithmetic; genetic algorithms; interval arithmetic methods; overestimation error minimisation; stochastic methods; underestimation error minimisation; worst-case circuit tolerance analysis; Arithmetic; Circuits; Design automation; Frequency; Genetic algorithms; Nonlinear distortion; Production facilities; Stress; Tolerance analysis; Uncertainty;

fLanguage

English

Journal_Title

Circuits and Systems I: Fundamental Theory and Applications, IEEE Transactions on

Publisher

ieee

ISSN

1057-7122

Type

jour

DOI

10.1109/81.883323

Filename

883323