dc.contributor.advisor |
Swain, A |
en |
dc.contributor.author |
Yang, Yuechuan |
en |
dc.date.accessioned |
2012-07-12T21:08:45Z |
en |
dc.date.issued |
2012 |
en |
dc.identifier.uri |
http://hdl.handle.net/2292/19295 |
en |
dc.description |
Full text is available to authenticated members of The University of Auckland only. |
en |
dc.description.abstract |
System identification is one of the most important parts in science and technology. This branch of science specially has an important role in control engineering, because with a proper identification method one can model a phenomenon to control its performance. In recent years, there has been a rapid development of process control techniques. However, there is currently no ultimate solution to the system identification problem. In order to solve the problem mentioned above, a new system identification scheme for time varying systems is developed in this thesis to improve the performance of current identification algorithms. Also, two errors-in-variables system identification techniques have been discussed and compared. As compare to current OFR algorithms, the new system identification scheme has made the following improvements. The first improvement is that the new system identification scheme can now detect the system parameters correctly when input and output data are both corrupted by noise, while the classical OFR algorithm cannot achieve this. The second improvement is that the new system identification scheme requires less information than the modified OFR algorithm. |
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dc.publisher |
ResearchSpace@Auckland |
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dc.relation.ispartof |
Masters Thesis - University of Auckland |
en |
dc.rights |
Items in ResearchSpace are protected by copyright, with all rights reserved, unless otherwise indicated. Previously published items are made available in accordance with the copyright policy of the publisher. |
en |
dc.rights |
Restricted Item. Available to authenticated members of The University of Auckland. |
en |
dc.rights.uri |
https://researchspace.auckland.ac.nz/docs/uoa-docs/rights.htm |
en |
dc.rights.uri |
http://creativecommons.org/licenses/by-nc-sa/3.0/nz/ |
en |
dc.title |
A new system identification scheme using modified Orthogonal Forward Regression and errors-in-variables techniques |
en |
dc.type |
Thesis |
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thesis.degree.grantor |
The University of Auckland |
en |
thesis.degree.level |
Masters |
en |
dc.rights.holder |
Copyright: The author |
en |
pubs.elements-id |
358326 |
en |
pubs.record-created-at-source-date |
2012-07-13 |
en |
dc.identifier.wikidata |
Q112892125 |
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