On the Infinite-Dimensional Model Multiple-Parameter Estimation Using Feedback-Relay Identification Test
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F71226401%3A_____%2F21%3AN0100597" target="_blank" >RIV/71226401:_____/21:N0100597 - isvavai.cz</a>
Result on the web
<a href="https://link.springer.com/chapter/10.1007/978-3-030-90321-3_37" target="_blank" >https://link.springer.com/chapter/10.1007/978-3-030-90321-3_37</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-030-90321-3_37" target="_blank" >10.1007/978-3-030-90321-3_37</a>
Alternative languages
Result language
angličtina
Original language name
On the Infinite-Dimensional Model Multiple-Parameter Estimation Using Feedback-Relay Identification Test
Original language description
The objective of this contribution is twofold. First, it demonstrates a case study on applying the standard single-run relay-feedback parameter identification test to a representative of infinite-dimensional systems. Namely, a delayed mathematical model of a circuit heating laboratory appliance process is used. Second, an initial estimation of the model parameters is done via the parameter identification of another – simpler – model. The transition between these two models adopts the idea of dominant spectrum assignment that is solved by using the well-established Levenberg-Marquardt algorithm. Finally, the remaining model parameters are estimated by solving another nonlinear optimization problem in the frequency domains. As transfer function denominator parameters are set independently to the numerator ones, the proposed technique significantly reduces the number of additional relay experiments. Numerical results indicate that the method needs improvements regarding time-response as well as frequency-response accuracy.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
20205 - Automation and control systems
Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2021
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Data Science and Intelligent Systems. Proceedings of 5th Computational Methods in Systems and Software 2021, Vol. 2.
ISBN
978-303090320-6
ISSN
23673370
e-ISSN
23673389
Number of pages
13
Pages from-to
452-465
Publisher name
Springer
Place of publication
Cham
Event location
online
Event date
Oct 13, 2021
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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