System identification acceleration and improvement with genetic programming usage

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F17%3A10241960" target="_blank" >RIV/61989100:27240/17:10241960 - isvavai.cz</a>

Výsledek na webu

<a href="https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8285434" target="_blank" >https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8285434</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/SSCI.2017.8285434" target="_blank" >10.1109/SSCI.2017.8285434</a>

Jazyk výsledku

angličtina

Název v původním jazyce

System identification acceleration and improvement with genetic programming usage

Popis výsledku v původním jazyce

Identification of controlled system is a known and necessary task in proper controller design and its adaptation. In all cases, system identification is also a needed procedure for assessment of the nature of the systems and for the simulation proposes. Presented system identification is based on the difference equation parameters finding (optimization) with the usage of the genetics algorithms. The only disadvantage of the proposed method could be the computing time, which can be too long for real applications, when it is necessary to be really precise. One of the factor, which influences the computing time is the number of input-output data. The acceleration and improvement of the proposed method is done by the taking into the account the number of the data, which is necessary for the sufficiently precise identification of the system.

Název v anglickém jazyce

System identification acceleration and improvement with genetic programming usage

Popis výsledku anglicky

Identification of controlled system is a known and necessary task in proper controller design and its adaptation. In all cases, system identification is also a needed procedure for assessment of the nature of the systems and for the simulation proposes. Presented system identification is based on the difference equation parameters finding (optimization) with the usage of the genetics algorithms. The only disadvantage of the proposed method could be the computing time, which can be too long for real applications, when it is necessary to be really precise. One of the factor, which influences the computing time is the number of input-output data. The acceleration and improvement of the proposed method is done by the taking into the account the number of the data, which is necessary for the sufficiently precise identification of the system.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

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

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2017

Kód důvěrnosti údajů

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

Název statě ve sborníku

IEEE SSCI 2017 : proceedings : November 27 – December 1, 2017, Honolulu, USA

ISBN

978-1-5386-2726-6

ISSN

—

e-ISSN

neuvedeno

Počet stran výsledku

7

Strana od-do

1517-1523

Název nakladatele

IEEE

Místo vydání

Piscataway

Místo konání akce

Honolulu

Datum konání akce

27. 11. 2017

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000428251401083