Skip to main navigation Skip to search Skip to main content

An nD-systems approach to global polynomial optimization with an application to H2 model order reduction

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceeding › Academic › peer-review

Abstract

The problem of finding the global minimum of a multivariate polynomial can be approached by the matrix method of Stetter-Moller, which reformulates it as a large eigenvalue problem. The linear operators involved in this approach are studied using the theory of nD-systems. This supports the efficient application of iterative methods for solving eigenvalue problems such as Arnoldi methods and Jacobi-Davidson methods. This approach is demonstrated by an example which addresses optimal H2-model reduction of a linear dynamical model of order 10 to order 9. Index Terms: global polynomial optimization, Stetter-Moller matrix method, linear operator, nD-system, large eigenvalue problem, H2 model reduction
Original languageEnglish
Title of host publicationProceedings of CDC-ECC 2005
Subtitle of host publication44th IEEE Conference on Decision and Control and European Control Conference 2005
Place of PublicationSevilla
PublisherIEEE
Pages5107-5112
DOIs
Publication statusPublished - 1 Jan 2005
Event44th IEEE Conference on Decision and Control and European Control Conference 2005 -
Duration: 12 Dec 2005 → 15 Dec 2005

Conference

Conference44th IEEE Conference on Decision and Control and European Control Conference 2005
Period12/12/05 → 15/12/05

Fingerprint

Dive into the research topics of 'An nD-systems approach to global polynomial optimization with an application to H2 model order reduction'. Together they form a unique fingerprint.

Cite this