Parameter estimation in five dimensions chaotic synchronization systems by self-organizing migrating algorithm
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28140%2F12%3A43868010" target="_blank" >RIV/70883521:28140/12:43868010 - isvavai.cz</a>
Alternative codes found
RIV/70883521:28110/12:43868010
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Parameter estimation in five dimensions chaotic synchronization systems by self-organizing migrating algorithm
Original language description
This paper aims to present the combination of chaotic signal and evolutionary algorithm to estimate the unknown parameters in five-dimension chaos synchronization system via the Pecora-Carroll method. The self-organizing migrating algorithm was used to estimate the unknown parameters. Based on the results from evolutionary algorithm, two identical chaotic systems were synchronized.
Czech name
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Czech description
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Classification
Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
JD - Use of computers, robotics and its application
OECD FORD branch
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Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2012
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
WSEAS Transactions on Systems
ISSN
1109-2777
e-ISSN
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Volume of the periodical
11
Issue of the periodical within the volume
4
Country of publishing house
GR - GREECE
Number of pages
12
Pages from-to
117-128
UT code for WoS article
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EID of the result in the Scopus database
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