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dc.contributor.advisorJacob White.en_US
dc.contributor.authorChen, Yong, 1979-en_US
dc.contributor.otherMassachusetts Institute of Technology. Dept. of Mathematics.en_US
dc.date.accessioned2005-08-22T20:44:48Z
dc.date.available2005-08-22T20:44:48Z
dc.date.copyright1999en_US
dc.date.issued1999en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/9381
dc.descriptionThesis (S.M.)--Massachusetts Institute of Technology, Dept. of Mathematics, 1999.en_US
dc.descriptionIncludes bibliographical references (p. 69-70).en_US
dc.description.abstractThis 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.en_US
dc.description.statementofresponsibilityby Yong Chen.en_US
dc.format.extent70 p.en_US
dc.format.extent3421366 bytes
dc.format.extent3421123 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypeapplication/pdf
dc.language.isoengen_US
dc.publisherMassachusetts Institute of Technologyen_US
dc.rightsM.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.en_US
dc.rights.urihttp://dspace.mit.edu/handle/1721.1/7582
dc.subjectMathematics.en_US
dc.titleModel order reduction for nonlinear systemsen_US
dc.typeThesisen_US
dc.description.degreeS.M.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Mathematics
dc.identifier.oclc44890513en_US


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