Y. Chen. Department of Mathematics, Thesis, (1999)
Abstract
Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Mathematics, 1999., Includes bibliographical references (p. 69-70)., 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., by Yong Chen., S.M.
%0 Thesis
%1 chenyong20051999model
%A Chen, Yong
%D 1999
%E White., Jacob
%E of Technology. Dept. of Mathematics., Massachusetts Institute
%E of Technology. Department of Mathematics, Massachusetts Institute
%I Massachusetts Institute of Technology
%K 65l80-numerical-daes reduced-order-modelling
%T Model order reduction for nonlinear systems
%U http://hdl.handle.net/1721.1/9381
%X Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Mathematics, 1999., Includes bibliographical references (p. 69-70)., 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., by Yong Chen., S.M.
@mastersthesis{chenyong20051999model,
abstract = {Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Mathematics, 1999., Includes bibliographical references (p. 69-70)., 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., by Yong Chen., S.M.},
added-at = {2023-09-06T01:41:56.000+0200},
author = {Chen, Yong},
biburl = {https://www.bibsonomy.org/bibtex/226d4382259dbf7b0f8f402a448c88d20/gdmcbain},
editor = {White., Jacob and of Technology. Dept. of Mathematics., Massachusetts Institute and of Technology. Department of Mathematics, Massachusetts Institute},
id = {http://hdl.handle.net/1721.1/9381, 44890513},
institution = {Massachusetts Institute of Technology},
interhash = {7f78056d3b1d975c0f234ded0cc3378b},
intrahash = {26d4382259dbf7b0f8f402a448c88d20},
keywords = {65l80-numerical-daes reduced-order-modelling},
publisher = {Massachusetts Institute of Technology},
school = {Department of Mathematics},
timestamp = {2023-09-06T01:41:56.000+0200},
title = {Model order reduction for nonlinear systems},
type = {Thesis},
url = {http://hdl.handle.net/1721.1/9381},
year = 1999
}