Utilization of SOMA and Differential Evolution for Robust Stabilization of Chaotic Logistic Equation

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28140%2F10%3A63508859" target="_blank" >RIV/70883521:28140/10:63508859 - 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

Utilization of SOMA and Differential Evolution for Robust Stabilization of Chaotic Logistic Equation

Original language description

This paper deals with the utilization of two evolutionary algorithms Self-Organizing Migrating Algorithm (SOMA) and Differential Evolution (DE) for the optimization of the control of chaos. This paper is aimed on an explanation on how to use evolutionaryalgorithms (EAs) and how to properly define the advanced targeting cost function (CF) securing fast, precise and mainly robust stabilization of selected chaotic system on a desired state for any initial conditions. The role of EA here is as a powerful tool for an optimal tuning of control technique input parameters. As a model of deterministic chaotic system, the one dimensional discrete Logistic equation was used. The four canonical strategies of SOMA and six canonical strategies of DE were utilized.For each EA strategy, repeated simulations were conducted to outline the effectiveness and robustness of used method and targeting CF securing robust solution. Satisfactory results obtained by both heuristic and the two proposed cost func

Czech name

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Czech description

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Type

J_x - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

CEP classification

IN - Informatics

OECD FORD branch

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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

2010

Confidentiality

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

Name of the periodical

Computers & Mathematics with Applications

ISSN

0898-1221

e-ISSN

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Volume of the periodical

60

Issue of the periodical within the volume

4

Country of publishing house

GB - UNITED KINGDOM

Number of pages

12

Pages from-to

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UT code for WoS article

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EID of the result in the Scopus database

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