Optimal Control of Evolutionary Synthesized Chaotic System

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28140%2F09%3A63507981" target="_blank" >RIV/70883521:28140/09:63507981 - 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

Optimal Control of Evolutionary Synthesized Chaotic System

Popis výsledku v původním jazyce

This work deals with the synthesis and subsequent control of discrete chaotic system by means of evolutionary algorithms. The main aim of this work is to show that evolutionary algorithms are capable of synthesis of new discrete chaotic system and optimization of its 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. Three different cost functions are presented and testedhere. The evolutionary algorithm, Self-Organizing Migrating Algorithm (SOMA) was used in its 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 cost functions give satisfactory result and described method can be considered as a simple tool as to how to check the controllability of new synthesized chaotic system without any numerical

Název v anglickém jazyce

Optimal Control of Evolutionary Synthesized Chaotic System

Popis výsledku anglicky

This work deals with the synthesis and subsequent control of discrete chaotic system by means of evolutionary algorithms. The main aim of this work is to show that evolutionary algorithms are capable of synthesis of new discrete chaotic system and optimization of its 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. Three different cost functions are presented and testedhere. The evolutionary algorithm, Self-Organizing Migrating Algorithm (SOMA) was used in its 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 cost functions give satisfactory result and described method can be considered as a simple tool as to how to check the controllability of new synthesized chaotic system without any numerical

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

15th International Conference on Soft Computing MENDEL 2009

ISBN

978-80-214-3884-2

ISSN

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e-ISSN

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Počet stran výsledku

8

Strana od-do

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Název nakladatele

VUT Brno

Místo vydání

Brno

Místo konání akce

Brno

Datum konání akce

26. 6. 2009

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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