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Permanent link (DOI): https://doi.org/10.7939/R3R62H

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Unconstrained nonlinear state estimation for chemical processes Open Access

Descriptions

Other title
Subject/Keyword
Kalman filter
Particle filter
Estimation theory
polymer reactors
Type of item
Thesis
Degree grantor
University of Alberta
Author or creator
Shenoy, Arjun Vsiwanath
Supervisor and department
Prasad, Vinay (Department of Chemical & Materials Engineering)
Shah, Sirish L. (Department of Chemical & Materials Engineering)
Examining committee member and department
Trivedi, Japan (School of Mining & Petroleum Engineering)
Department
Department of Chemical and Materials Engineering
Specialization

Date accepted
2010-08-31T14:36:11Z
Graduation date
2010-11
Degree
Master of Science
Degree level
Master's
Abstract
Estimation theory is a branch of statistics and probability that derives information about random variables based on known information. In process engineering, state estimation is used for a variety of purposes, such as: soft sensing, digital filter design, model predictive control and performance monitoring. In literature, there exist numerous estimation algorithms. In this study, we provide guidelines for choosing the appropriate estimator for a system under consideration. Various estimators are compared and their advantages and disadvantages are highlighted. This has been done through case studies which use examples from process engineering. We also address certain robustness issues of application of estimation techniques to chemical processes. Choice of estimator in case of high plant-model mismatch has also been discussed. The study is restricted to unconstrained nonlinear estimators.
Language
English
DOI
doi:10.7939/R3R62H
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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