Statistical analysis of control quality of MPC using testing hypothesis
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61988987%3A17450%2F19%3AA20020XW" target="_blank" >RIV/61988987:17450/19:A20020XW - isvavai.cz</a>
Alternative codes found
RIV/70883521:28140/19:63523962
Result on the web
<a href="http://dx.doi.org/10.1051/matecconf/201929201037" target="_blank" >http://dx.doi.org/10.1051/matecconf/201929201037</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1051/matecconf/201929201037" target="_blank" >10.1051/matecconf/201929201037</a>
Alternative languages
Result language
angličtina
Original language name
Statistical analysis of control quality of MPC using testing hypothesis
Original language description
Methods of the statistical induction have a significant role in the quantitative research. In a wide spectrum of research areas, the methods based on testing hypotheses have been frequently used. However, in the area of the process control, testing hypothesis has not been widely considered as an established tool for signal analyses, although signals in control loops are suitable for analysis by means of quantitative statistical methods due to their stochastic character. Particularly, a statistical paired comparison can be applied for analysis of control quality achieved with different control algorithms. This comparison can be based on a paired comparison of corresponding signals obtained with different or modified control algorithms. The aim of this paper is a proposal of incorporation of testing hypothesis to analysis of control quality. The analysis was performed on a strictly defined significance level 0.001, which is a standardly used value in technical applications. As an example was demonstrated analysis of control quality achieved with two versions of a predictive controller. Finally, achieved results of paired comparison using testing hypothesis are discussed.
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
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
MATEC Web of Conferences (vol. 292)
ISBN
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ISSN
2261-236X
e-ISSN
2261-236X
Number of pages
6
Pages from-to
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Publisher name
EDP Sciences
Place of publication
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Event location
Marathon Beach, Athens
Event date
Jul 14, 2019
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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