Evolutionary Blackbox Control of Logistic Equation

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28140%2F09%3A63507983" target="_blank" >RIV/70883521:28140/09:63507983 - isvavai.cz</a>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Evolutionary Blackbox Control of Logistic Equation

Popis výsledku v původním jazyce

This research deals with optimization of the control of chaos by means of evolutionary algorithms. The main aim of this work is to show that evolutionary algorithms are capable of the optimization of chaos control and to show a new approach of solving this problem and constructing new cost functions operating in ?blackbox mode? without previous exact mathematical analysis of the system, thus without knowledge of stabilizing target state. Three different cost functions are presented and tested here. As amodel of deterministic chaotic system, the one dimensional Logistic equation was used. The optimizations were realized in several ways, each one for another desired periodic orbit. The evolutionary algorithm Self-Organizing Migrating Algorithm (SOMA) was used in four versions. For each version, repeated simulations were conducted to outline the effectiveness and robustness of used method and cost function. Presented results lend weight to the argument, that proposed CFs gives satisfacto

Název v anglickém jazyce

Evolutionary Blackbox Control of Logistic Equation

Popis výsledku anglicky

This research deals with optimization of the control of chaos by means of evolutionary algorithms. The main aim of this work is to show that evolutionary algorithms are capable of the optimization of chaos control and to show a new approach of solving this problem and constructing new cost functions operating in ?blackbox mode? without previous exact mathematical analysis of the system, thus without knowledge of stabilizing target state. Three different cost functions are presented and tested here. As amodel of deterministic chaotic system, the one dimensional Logistic equation was used. The optimizations were realized in several ways, each one for another desired periodic orbit. The evolutionary algorithm Self-Organizing Migrating Algorithm (SOMA) was used in four versions. For each version, repeated simulations were conducted to outline the effectiveness and robustness of used method and cost function. Presented results lend weight to the argument, that proposed CFs gives satisfacto

Druh

D - Stať ve sborníku

CEP obor

IN - Informatika

OECD FORD obor

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Projekt

<a href="/cs/project/GA102%2F09%2F1680" target="_blank" >GA102/09/1680: Evoluční návrh řídicích algoritmů</a><br>

Návaznosti

Z - Vyzkumny zamer (s odkazem do CEZ)

Rok uplatnění

2009

Kód důvěrnosti údajů

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

Název statě ve sborníku

European Control Conference 2009

ISBN

978-963-311-369-1

ISSN

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e-ISSN

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Počet stran výsledku

6

Strana od-do

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Název nakladatele

EUCA

Místo vydání

San Ramon

Místo konání akce

Budapest, Hungary

Datum konání akce

26. 8. 2009

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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