Notes on polynomial selection for piecewise polynomial model order reduction [nonlinear systems]

Author

Balk, Igor

Author_Institution

R3 Logic, Somerville, MA, USA

fYear

2003

fDate

27-29 Oct. 2003

Firstpage

177

Lastpage

180

Abstract

Modern trends in simulation of large microelectronics systems has introduced the necessity for development of fast and robust nonlinear model order algorithms. This paper discusses polynomial selection in conjunction with piecewise polynomial model order reduction. The advantage of mean value convergence over pointwise convergence is shown in respect to input function expansion.

Keywords

convergence of numerical methods; nonlinear network analysis; piecewise polynomial techniques; polynomials; reduced order systems; Hermite polynomial expansion; input function expansion; mean value convergence; microelectronics system simulation; nonlinear model order algorithm; piecewise polynomial model order reduction; pointwise convergence; polynomial selection; Convergence; Electronic mail; H infinity control; Linear systems; Logic; Nonlinear systems; Polynomials; Power system modeling; Taylor series; Transfer functions;

fLanguage

English

Publisher

ieee

Conference_Titel

Electrical Performance of Electronic Packaging, 2003

Conference_Location

Princeton, NJ, USA

Print_ISBN

0-7803-8128-9

Type

conf

DOI

10.1109/EPEP.2003.1250026

Filename

1250026

Link To Document

https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2355212