Model order reduction for nonlinear systems

This thesis presents some practical methods for doing model order reduction for a general type of nonlinear systems. Based on quadratic or even higher degree approximation and tensor reduction with assistance of Arnoldi type projection, we demonstrate a much better accuracy for the reduced nonlinear system to capture the original behavior than the traditional linearization method.

Department dc:contributor.department

Massachusetts Institute of Technology. Dept. of Mathematics.

Grantor dc:publisher

Massachusetts Institute of Technology

Year dc:date.issued

1999

Author dc:creator

• Chen, Yong, 1979-

Advisor dc:contributor.advisor

• Jacob White.

• Mathematics.

Statement dc:rights

• M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.

Licence dc:rights.uri

• http://dspace.mit.edu/handle/1721.1/7582

Language dc:language.iso

eng

Handle dc:identifier.uri

http://hdl.handle.net/1721.1/9381

OAI identifier oai:identifier

oai:dspace.mit.edu:1721.1/9381