Applied Quadratic Programming with Principles of Statistical Paired Tests
The result's identifiers
Result code in 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>
Alternative codes found
RIV/70883521:28140/19:63523964
Result on the web
<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>
Alternative languages
Result language
angličtina
Original language name
Applied Quadratic Programming with Principles of Statistical Paired Tests
Original language description
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.
Czech name
—
Czech description
—
Classification
Type
D - Article in proceedings
CEP classification
—
OECD FORD branch
20205 - Automation and control systems
Result continuities
Project
—
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
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
—
Number of pages
10
Pages from-to
278-287
Publisher name
Springer
Place of publication
Cham
Event location
Zlin, Czech Republic
Event date
Sep 12, 2019
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
—