Testing hypotheses used in analysis of control quality

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61988987%3A17450%2F19%3AA20020XY" target="_blank" >RIV/61988987:17450/19:A20020XY - isvavai.cz</a>

Výsledek na webu

<a href="http://www.scs-europe.net/dlib/2019/2019-0132.htm" target="_blank" >http://www.scs-europe.net/dlib/2019/2019-0132.htm</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.7148/2019-0132" target="_blank" >10.7148/2019-0132</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Testing hypotheses used in analysis of control quality

Popis výsledku v původním jazyce

Simulation is an important tool for testing and verification of newly designed or modified control algorithms. One of the aims of the simulation verification is a comparison of control quality achieved with new or modified methods with control quality achieved with known methods. For an analysis of control quality, criterions based namely on sum of powers of control errors and sum of powers of control increments are commonly used. These criterions can result only in descriptive attributes of control quality. It means that on the basis of particular values of the criterions it is not possible to identify if the control quality achieved with one algorithm is statistically significantly different from control quality achieved with another algorithm. The aim of this paper is examining of control quality with use of testing hypotheses on existence of statistically significant differences between partial values of the control quality criterions in individual sampling periods. The analysis was performed on a strictly defined significance level 0.001, which is a standardly used value in technical applications. A realization is presented on a simulation of a multivariable predictive control with a modified optimization technique.

Název v anglickém jazyce

Testing hypotheses used in analysis of control quality

Popis výsledku anglicky

Simulation is an important tool for testing and verification of newly designed or modified control algorithms. One of the aims of the simulation verification is a comparison of control quality achieved with new or modified methods with control quality achieved with known methods. For an analysis of control quality, criterions based namely on sum of powers of control errors and sum of powers of control increments are commonly used. These criterions can result only in descriptive attributes of control quality. It means that on the basis of particular values of the criterions it is not possible to identify if the control quality achieved with one algorithm is statistically significantly different from control quality achieved with another algorithm. The aim of this paper is examining of control quality with use of testing hypotheses on existence of statistically significant differences between partial values of the control quality criterions in individual sampling periods. The analysis was performed on a strictly defined significance level 0.001, which is a standardly used value in technical applications. A realization is presented on a simulation of a multivariable predictive control with a modified optimization technique.

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

Proceedings - European Council for Modelling and Simulation, ECMS (vol. 33, issue 1)

ISBN

—

ISSN

2522-2414

e-ISSN

2522-2422

Počet stran výsledku

6

Strana od-do

132-137

Název nakladatele

European Council for Modelling and Simulation

Místo vydání

—

Místo konání akce

Caserta, Area of Napoli, Italy

Datum konání akce

11. 6. 2019

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000477784500019