Variability reduction: statistically based algorithms for reduction of performance variability of electrical circuits
作者:
AjokeIlumoka,
NicholasMaratos,
RobertSpence,
期刊:
IEE Proceedings G (Electronic Circuits and Systems)
(IET Available online 1982)
卷期:
Volume 129,
issue 4
页码: 169-180
年代: 1982
DOI:10.1049/ip-g-1.1982.0030
出版商: IEE
数据来源: IET
摘要:
A number of algorithms are presented for the reduction of circuit-response variability arising from component tolerances. A Monte Carlo analysis is carried out in the tolerance region and the responsesFand differential response sensitivities ∂F/∂piwith respect to circuit parameterspcalculated at each sample point. This enables both the variance of the responses and the circuit yield over the tolerance region to be estimated. At a given iteration, a descent direction for variance is determined by one of a number of different methods, and a suitable step length for the movement of the nominal point calculated. These two operations make extensive use of linear approximations to the response for the estimation of variance and yield for known displacements in the circuit parameters. As a consequence, the method is very efficient (∂F/∂piare inexpensive to compute), since the number of fresh circuit analyses is kept to a minimum.
点击下载:
PDF
(1363KB)
返 回