Optimization in Model Predictive Control Using Evolutionary-Gradient Algorithm

Kód výsledku v IS VaVaI

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Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Optimization in Model Predictive Control Using Evolutionary-Gradient Algorithm

Popis výsledku v původním jazyce

The term predictive control designates a class of control methods which are suitable for control of various kinds of systems. The basic principle of model based predictive control (MPC) is the calculating of the future behaviour of a system by means of amodel. The best control values are determined by solving of an optimization problem which must be solved in each sampling period. One of the major advantages of MPC is its ability to take into account constraints within a controller. However, these constraints may cause that the optimization problem is computationally complex. There are many algorithms which may be used for solving this problem. The crucial issue of optimization is computational time. Hence, there must be applied algorithms which are computationally effective. This contribution deals with the optimization using a mixed evolutionary-gradient algorithm.

Název v anglickém jazyce

Optimization in Model Predictive Control Using Evolutionary-Gradient Algorithm

Popis výsledku anglicky

The term predictive control designates a class of control methods which are suitable for control of various kinds of systems. The basic principle of model based predictive control (MPC) is the calculating of the future behaviour of a system by means of amodel. The best control values are determined by solving of an optimization problem which must be solved in each sampling period. One of the major advantages of MPC is its ability to take into account constraints within a controller. However, these constraints may cause that the optimization problem is computationally complex. There are many algorithms which may be used for solving this problem. The crucial issue of optimization is computational time. Hence, there must be applied algorithms which are computationally effective. This contribution deals with the optimization using a mixed evolutionary-gradient algorithm.

Druh

D - Stať ve sborníku

CEP obor

BC - Teorie a systémy řízení

OECD FORD obor

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Projekt

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Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2015

Kód důvěrnosti údajů

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

Název statě ve sborníku

The 3rd International Conference on Applied, Numerical and Computational Mathematics

ISBN

978-1-61804-328-3

ISSN

2227-4588

e-ISSN

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Počet stran výsledku

7

Strana od-do

35-41

Název nakladatele

WSEAS

Místo vydání

budapešť

Místo konání akce

Sliema

Datum konání akce

17. 8. 2015

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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