Design of Advanced Targeting Cost Function for Evolutionary Optimization of Chaos Control

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28140%2F09%3A63507982" target="_blank" >RIV/70883521:28140/09:63507982 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Design of Advanced Targeting Cost Function for Evolutionary Optimization of Chaos Control
Original language description
This research deals with the optimization of the control of chaos by means of evolutionary algorithms. The main aim of this work is to show that powerful optimizing tools like evolutionary algorithms can in reality be used for the optimization of deterministic chaos control. This work is aimed on an explanation of how to use evolutionary algorithms (EAs) and how to properly define the advanced targeting cost function (CF) securing very fast and precise stabilization of desired state for any initial conditions. As a model of deterministic chaotic system, the two dimensional Henon map was used. The evolutionary algorithm Self-Organizing Migrating Algorithm (SOMA) was used in four versions. For each version, repeated simulations were conducted to outlinethe effectiveness and robustness of used method and targeting CF.
Czech name
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Czech description
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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)

Publication year
2009
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
23rd European Conference on Modelling and Simulation
ISBN
978-0-9553018-8-9
ISSN
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e-ISSN
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Number of pages
7
Pages from-to
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Publisher name
ECMS Sp.
Place of publication
Madrid
Event location
Madrid, Spain
Event date
Jun 12, 2009
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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