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Permanent link (DOI): https://doi.org/10.7939/R31T4Z

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Theses and Dissertations

Multiple ARX Model Based Identification for Switching/Nonlinear Systems with EM Algorithm Open Access

Descriptions

Other title
Subject/Keyword
Switching Systems
System Identification
EM Algorithm
Type of item
Thesis
Degree grantor
University of Alberta
Author or creator
Jin, Xing
Supervisor and department
Huang, Biao (Chemical and Materials Eng.)
Examining committee member and department
Stevan Dubljevic (Chemical and Materials Eng.)
Qing Zhao (Electrical and Computer Eng.)
Department
Department of Chemical and Materials Engineering
Specialization

Date accepted
2010-04-07T20:01:06Z
Graduation date
2010-06
Degree
Master of Science
Degree level
Master's
Abstract
Two different types of switching mechanism are considered in this thesis; one is featured with abrupt/sudden switching while the other one shows gradual changing behavior in its dynamics. It is shown that, through the comparison of the identification results from the proposed method and a benchmark method, the proposed robust identification method can achieve better performance when dealing with the data set mixed with outliers. To model the switched systems exhibiting gradual or smooth transition among different local models, in addition to estimating the local sub-systems parameters, a smooth validity (an exponential function) function is introduced to combine all the local models so that throughout the working range of the gradual switched system, the dynamics of the nonlinear process can be appropriately approximated. Verification results on a simulated numerical example and CSTR process confirm the effectiveness of the proposed Linear Parameter Varying (LPV) identification algorithm.
Language
English
DOI
doi:10.7939/R31T4Z
Rights
Permission is hereby granted to the University of Alberta Libraries to reproduce single copies of this thesis and to lend or sell such copies for private, scholarly or scientific research purposes only. Where the thesis is converted to, or otherwise made available in digital form, the University of Alberta will advise potential users of the thesis of these terms. The author reserves all other publication and other rights in association with the copyright in the thesis and, except as herein before provided, neither the thesis nor any substantial portion thereof may be printed or otherwise reproduced in any material form whatsoever without the author's prior written permission.
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