A Stochastic Collocation Technique for Time-Domain Variability Analysis of Active Circuits

被引：0
|
作者：
Guo, K. [1 ]
Ferranti, F. [2 ]
Nouri, B. [1 ]
Nakhla, M. [1 ]
机构：
[1] Carleton Univ, Ottawa, ON K1S 5B6, Canada
[2] Vrije Univ Brussel, Pl Laan 2, B-1050 Brussels, Belgium
来源：
2016 IEEE 25TH CONFERENCE ON ELECTRICAL PERFORMANCE OF ELECTRONIC PACKAGING AND SYSTEMS (EPEPS) | 2016年
基金：
加拿大自然科学与工程研究理事会;
关键词：
PARTIAL-DIFFERENTIAL-EQUATIONS; DECOUPLED POLYNOMIAL CHAOS; RANDOM INPUT DATA; INTERCONNECTS; ALGORITHM;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
A novel method is presented for time-domain statistical analysis of large active circuits with multiple stochastic parameters. It is based on a stability-preserving model order reduction algorithm coupled with stochastic collocation schemes. Pertinent numerical results validate the proposed method.
引用
收藏
页码：47 / 49
页数：3
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