Geometrical Modelling Applied on Particular Constrained Optimization Problems
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61988987%3A17450%2F20%3AA210276S" target="_blank" >RIV/61988987:17450/20:A210276S - isvavai.cz</a>
Result on the web
<a href="https://link.springer.com/chapter/10.1007/978-3-030-63319-6_16" target="_blank" >https://link.springer.com/chapter/10.1007/978-3-030-63319-6_16</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-030-63319-6_16" target="_blank" >10.1007/978-3-030-63319-6_16</a>
Alternative languages
Result language
angličtina
Original language name
Geometrical Modelling Applied on Particular Constrained Optimization Problems
Original language description
In favour of proposals of modified control techniques, geometrical analyses of the theoretical background of parts of the control algorithms should be advantageous. Concretely, the nonlinear optimization has been frequently considered as one of the important parts of the modern control strategies, e.g. the predictive control. Due to improving the control quality and minimization of control errors, the quadratic cost function can be generally included in the control algorithms. Therefore, the applied type of the nonlinear optimization is frequently specified as the quadratic programming problem with constraints. In this paper, the most occurred situations in this quadratic programming are geometrically modelled according to the stereo-metrical approach using the GeoGebra software. Advantages of achieved results can be suitably applied in the further proposals of the modified control methods.
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
10102 - Applied mathematics
Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Software Engineering Perspectives in Intelligent Systems (vol.2), Advances in Intelligent Systems and Computing (vol. 1295)
ISBN
978-3-030-63318-9
ISSN
2194-5357
e-ISSN
2194-5365
Number of pages
11
Pages from-to
178-188
Publisher name
Springer Nature
Place of publication
Cham
Event location
Zlin
Event date
Oct 14, 2020
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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