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Permanent link (DOI): https://doi.org/10.7939/R3XD8D

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Experiment design for nonlinear system identification Open Access

Descriptions

Other title
Subject/Keyword
System identification
Experimental design
Nonlinear systems
Type of item
Thesis
Degree grantor
University of Alberta
Author or creator
Zhu, Yijia
Supervisor and department
Biao Huang (Chemical and Materials Engineering)
Examining committee member and department
Qing Zhao (Electrical and Computer Engineering)
Hongbo Zeng (Chemical and Materials Engineering)
Biao Huang (Chemical and Materials Engineering)
Vinay Prasad (Chemical and Materials Engineering)
Department
Department of Chemical and Materials Engineering
Specialization

Date accepted
2010-11-25T16:18:52Z
Graduation date
2011-06
Degree
Master of Science
Degree level
Master's
Abstract
Optimal experiment design has been considered as an effective tool to improve model reliability and accuracy in nonlinear system identification in the past few decades. This thesis is concerned with the following challenges which have not been previously addressed: poor initial guess problem of the nominal model in nonlinear system identification; operating points selection to improve LPV model identification accuracy; joint experimental design concerning optimal operating points and input perturbation design simultaneously. To reduce the influence of poor initial guess of a model, the proposed constrained receding-horizon design (CRHD) incorporates steady-state constraints into the design framework. The other aspect addressed is experiment design for LPV model identification. An adaptive optimal operating point design approach is developed requiring no a-priori knowledge about the true nonlinear system. Joint experiment design involving more than one experiment design factor is also considered. This problem is solved by designing the operating points and input perturbation simultaneously.
Language
English
DOI
doi:10.7939/R3XD8D
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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