Geometrical Modelling Applied on Particular Constrained Optimization Problems

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

Geometrical Modelling Applied on Particular Constrained Optimization Problems

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Geometrical Modelling Applied on Particular Constrained Optimization Problems

Popis výsledku anglicky

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.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

10102 - Applied mathematics

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2020

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

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

Počet stran výsledku

11

Strana od-do

178-188

Název nakladatele

Springer Nature

Místo vydání

Cham

Místo konání akce

Zlin

Datum konání akce

14. 10. 2020

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

—