Offline Parameter Identification - the Random Initial Estimation Issue

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60162694%3AG43__%2F11%3A00449307" target="_blank" >RIV/60162694:G43__/11:00449307 - isvavai.cz</a>

Result on the web

<a href="http://vavtest.unob.cz/registr" target="_blank" >http://vavtest.unob.cz/registr</a>

DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Offline Parameter Identification - the Random Initial Estimation Issue

Original language description

Experimental offline identification algorithm is based on minimization of criteria function considering the unknown mathematical model variables. We often use software support of various computing programs to find the minimum of a scalar function of several variables. However, operator has to know initial estimation of the searched parameters to get proper results. If operator sets bad initial estimation, the identification process would find another local minimum or would diverge. This paper is focusedon random approach to initial estimation of simple mathematical model using basic MATLAB software support.

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

JA - Electronics and optoelectronics

OECD FORD branch

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Project

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Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2011

Confidentiality

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

Name of the periodical

Cybernetic Letters

ISSN

1802-3525

e-ISSN

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Volume of the periodical

Neuveden

Issue of the periodical within the volume

9

Country of publishing house

CZ - CZECH REPUBLIC

Number of pages

12

Pages from-to

0-0

UT code for WoS article

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EID of the result in the Scopus database

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