Optimum Order Estimation of Reduced Macromodels Based on a Geometric Approach for Projection-Based MOR Methods

Author

Nouri, Behzad ; Nakhla, Michel S. ; Achar, Ramachandra

Author_Institution

Dept. of Electron., Carleton Univ., Ottawa, ON, Canada

Volume

3

Issue

7

fYear

2013

fDate

Jul-13

Firstpage

1218

Lastpage

1227

Abstract

Estimation of the optimal order of reduced models in existing macromodeling techniques is a challenging task and is often based on heuristics. In this paper, a new algorithm is described for estimating the minimum acceptable order for reduced models of linear systems to ensure accurate as well as efficient transient behavior. The precise determination of the optimum order for a reduced system is based on evaluation of the number of false nearest neighbors.

Keywords

estimation theory; linear network analysis; linear systems; network synthesis; reduced order systems; acceptable order; false nearest neighbors; geometric approach; linear systems; macromodeling techniques; optimal order estimation; optimum order estimation; projection-based MOR methods; reduced macromodels; reduced models; reduced system; transient behavior; False nearest neighbor (FNN); linear network analysis; macromodeling; neighborhood range; order estimation; parallel processing; projection; reduced-order models;

fLanguage

English

Journal_Title

Components, Packaging and Manufacturing Technology, IEEE Transactions on

Publisher

ieee

ISSN

2156-3950

Type

jour

DOI

10.1109/TCPMT.2013.2259167

Filename

6517462