Statistical analysis of control quality of MPC using testing hypothesis

Kód výsledku v 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>

Nalezeny alternativní kódy

RIV/70883521:28140/19:63523962

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

Statistical analysis of control quality of MPC using testing hypothesis

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Statistical analysis of control quality of MPC using testing hypothesis

Popis výsledku anglicky

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.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

20205 - Automation and control systems

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2019

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

MATEC Web of Conferences (vol. 292)

ISBN

—

ISSN

2261-236X

e-ISSN

2261-236X

Počet stran výsledku

6

Strana od-do

—

Název nakladatele

EDP Sciences

Místo vydání

—

Místo konání akce

Marathon Beach, Athens

Datum konání akce

14. 7. 2019

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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