Synthesis of feedback controller for three selected chaotic systems by means of evolutionary techniques: Analytic programming

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F13%3A86088780" target="_blank" >RIV/61989100:27240/13:86088780 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/70883521:28140/13:43869665

Výsledek na webu

<a href="http://dx.doi.org/10.1016/j.mcm.2011.05.030" target="_blank" >http://dx.doi.org/10.1016/j.mcm.2011.05.030</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.mcm.2011.05.030" target="_blank" >10.1016/j.mcm.2011.05.030</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Synthesis of feedback controller for three selected chaotic systems by means of evolutionary techniques: Analytic programming

Popis výsledku v původním jazyce

This research deals with the utilization of analytic programming for a synthesis of control law for three selected discrete chaotic systems. The novelty of the approach is that a tool for symbolic regression-analytic programming-is used for such kinds ofdifficult problems. The paper consists of the descriptions of analytic programming as well as chaotic systems and used cost functions. For simulations, evolutionary algorithm SOMA (Self-Organizing Migrating Algorithm) and analytic programming were used.For each case study, repeated simulations were conducted to outline the effectiveness and robustness of used methods. All repeated simulations have given satisfactory results.

Název v anglickém jazyce

Synthesis of feedback controller for three selected chaotic systems by means of evolutionary techniques: Analytic programming

Popis výsledku anglicky

This research deals with the utilization of analytic programming for a synthesis of control law for three selected discrete chaotic systems. The novelty of the approach is that a tool for symbolic regression-analytic programming-is used for such kinds ofdifficult problems. The paper consists of the descriptions of analytic programming as well as chaotic systems and used cost functions. For simulations, evolutionary algorithm SOMA (Self-Organizing Migrating Algorithm) and analytic programming were used.For each case study, repeated simulations were conducted to outline the effectiveness and robustness of used methods. All repeated simulations have given satisfactory results.

Druh

J_x - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)

CEP obor

IN - Informatika

OECD FORD obor

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Projekt

Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2013

Kód důvěrnosti údajů

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

Název periodika

Mathematical and Computer Modelling

ISSN

0895-7177

e-ISSN

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Svazek periodika

57

Číslo periodika v rámci svazku

1-2

Stát vydavatele periodika

GB - Spojené království Velké Británie a Severního Irska

Počet stran výsledku

11

Strana od-do

57-67

Kód UT WoS článku

000308805600007

EID výsledku v databázi Scopus

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