Modified Hildreth's Method Applied in Multivariable Model Predictive Control

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61988987%3A17450%2F19%3AA2001URC" target="_blank" >RIV/61988987:17450/19:A2001URC - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/70883521:28140/19:63519940

Výsledek na webu

<a href="https://doi.org/10.1007/978-3-319-91334-6_11" target="_blank" >https://doi.org/10.1007/978-3-319-91334-6_11</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/978-3-319-91334-6_11" target="_blank" >10.1007/978-3-319-91334-6_11</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Modified Hildreth's Method Applied in Multivariable Model Predictive Control

Popis výsledku v původním jazyce

A significantly important part of model predictive control (MPC) with constraints are algorithms of numerical optimization. Reduction of the computational complexity of the optimization methods has been widely researched. The reason is that in certain cases of predictive control of fast dynamics processes an optimization algorithm may not be feasible within the sampling period time. This situation occurs particularly when requirements on control are more complex, e.g. in the multivariable control. Hildreth’s method based on the dual-problem-optimization-principles has been widely applied and implemented in model predictive control. However, modifications of this method are not widely described in context of model predictive control. This paper proposes a modification of Hildreth’s method, which reduces the computational complexity of the algorithm, and its application in the multivariable predictive control.

Název v anglickém jazyce

Modified Hildreth's Method Applied in Multivariable Model Predictive Control

Popis výsledku anglicky

A significantly important part of model predictive control (MPC) with constraints are algorithms of numerical optimization. Reduction of the computational complexity of the optimization methods has been widely researched. The reason is that in certain cases of predictive control of fast dynamics processes an optimization algorithm may not be feasible within the sampling period time. This situation occurs particularly when requirements on control are more complex, e.g. in the multivariable control. Hildreth’s method based on the dual-problem-optimization-principles has been widely applied and implemented in model predictive control. However, modifications of this method are not widely described in context of model predictive control. This paper proposes a modification of Hildreth’s method, which reduces the computational complexity of the algorithm, and its application in the multivariable predictive control.

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

Innovation, Engineering and Entrepreneurship; Lecture Notes in Electrical Engineering (vol. 505)

ISBN

978-3-319-91333-9

ISSN

1876-1100

e-ISSN

—

Počet stran výsledku

7

Strana od-do

75-81

Název nakladatele

Springer

Místo vydání

Cham

Místo konání akce

Guimaraes; Portugal

Datum konání akce

27. 6. 2018

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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