Applied Quadratic Programming with Principles of Statistical Paired Tests

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61988987%3A17450%2F19%3AA20022WG" target="_blank" >RIV/61988987:17450/19:A20022WG - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/70883521:28140/19:63523964

Výsledek na webu

<a href="https://link.springer.com/chapter/10.1007%2F978-3-030-31362-3_27" target="_blank" >https://link.springer.com/chapter/10.1007%2F978-3-030-31362-3_27</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/978-3-030-31362-3_27" target="_blank" >10.1007/978-3-030-31362-3_27</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Applied Quadratic Programming with Principles of Statistical Paired Tests

Popis výsledku v původním jazyce

In applied research areas, various types of mathematical disciplines have been advantageously connected together with wide corresponding applications. As an applied proposal of this connection, a numerical optimization method of the quadratic programming particularly modified by a principle of statistical hypothesis testing can be seen in this paper. With regards to a computational complexity, algorithms of multivariable Model Predictive Control (MPC) can be considered as procedures with a higher computational complexity caused by the multi-variability, higher horizons and included constraints conditions. A wide spectrum of modifications has been proposed in the optimization subsystem of MPC controller yet; however, approaches based on including the hypotheses testing have not been widely considered in applied optimization method. A number of operations should be decreased; however, a control quality may be slightly influenced with regards to this aim. Therefore, the proposed modification is advantageous in an applied form of the quadratic programming technique where necessary information for following steps of a process control are provided. Achieved results are discussed in order to the incorporating of the principle of hypotheses testing in the modified numerical method of the applied quadratic programming.

Název v anglickém jazyce

Applied Quadratic Programming with Principles of Statistical Paired Tests

Popis výsledku anglicky

In applied research areas, various types of mathematical disciplines have been advantageously connected together with wide corresponding applications. As an applied proposal of this connection, a numerical optimization method of the quadratic programming particularly modified by a principle of statistical hypothesis testing can be seen in this paper. With regards to a computational complexity, algorithms of multivariable Model Predictive Control (MPC) can be considered as procedures with a higher computational complexity caused by the multi-variability, higher horizons and included constraints conditions. A wide spectrum of modifications has been proposed in the optimization subsystem of MPC controller yet; however, approaches based on including the hypotheses testing have not been widely considered in applied optimization method. A number of operations should be decreased; however, a control quality may be slightly influenced with regards to this aim. Therefore, the proposed modification is advantageous in an applied form of the quadratic programming technique where necessary information for following steps of a process control are provided. Achieved results are discussed in order to the incorporating of the principle of hypotheses testing in the modified numerical method of the applied quadratic programming.

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

Computational Statistics and Mathematical Modeling Methods in Intelligent Systems, Advances in Intelligent Systems and Computing (vol. 1047)

ISBN

978-3-030-31361-6

ISSN

2194-5357

e-ISSN

—

Počet stran výsledku

10

Strana od-do

278-287

Název nakladatele

Springer

Místo vydání

Cham

Místo konání akce

Zlin, Czech Republic

Datum konání akce

12. 9. 2019

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

—