Testing Hypotheses in Analysis of Control Quality
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28140%2F19%3A63523963" target="_blank" >RIV/70883521:28140/19:63523963 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Testing Hypotheses in Analysis of Control Quality
Original language description
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.
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
Proceedings - European Council for Modelling and Simulation, ECMS
ISBN
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ISSN
2522-2414
e-ISSN
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Number of pages
6
Pages from-to
132-137
Publisher name
European Council for Modelling and Simulation
Place of publication
Madrid
Event location
Caserta
Event date
Jun 11, 2019
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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