Optimal Control of Evolutionary Synthesized Chaotic System
The result's identifiers
Result code in 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>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Optimal Control of Evolutionary Synthesized Chaotic System
Original language description
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
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
Project
<a href="/en/project/GA102%2F09%2F1680" target="_blank" >GA102/09/1680: Control Algorithm Design by Means of Evolutionary Approach</a><br>
Continuities
Z - Vyzkumny zamer (s odkazem do CEZ)
Others
Publication year
2009
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
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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Number of pages
8
Pages from-to
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Publisher name
VUT Brno
Place of publication
Brno
Event location
Brno
Event date
Jun 26, 2009
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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