Použití regresních polynomů při on-line identifikaci

Kód výsledku v IS VaVaI

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Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

USAGE OF REGRESSION POLYNOMIALS IN ON-LINE IDENTIFICATION

Popis výsledku v původním jazyce

The paper deals with the usage of the Lagrange polynomials to count derivations of action and output signal during recursive identification of continuous-time model of continuous-time systems. The classical scheme of recursive identification uses filtersto obtain derivations of action and output signal in purpose to obtain parameters of continuous-time system during on-line identification. However, the filter has to be set in the way that a priori information has to be taken into account. If the regression polynomial is used instead of filters, there is no problem to count the derivation of this regression polynomial. In addition, the general formulae of the derivations can be obtained analytically and the values are easily counted numerically. This approach was verified by simulation in MATLAB by the usage of self-tuning control of SISO system in the feedback loop and decentralized self-tuning feedback control of TITO system, too.

Název v anglickém jazyce

USAGE OF REGRESSION POLYNOMIALS IN ON-LINE IDENTIFICATION

Popis výsledku anglicky

The paper deals with the usage of the Lagrange polynomials to count derivations of action and output signal during recursive identification of continuous-time model of continuous-time systems. The classical scheme of recursive identification uses filtersto obtain derivations of action and output signal in purpose to obtain parameters of continuous-time system during on-line identification. However, the filter has to be set in the way that a priori information has to be taken into account. If the regression polynomial is used instead of filters, there is no problem to count the derivation of this regression polynomial. In addition, the general formulae of the derivations can be obtained analytically and the values are easily counted numerically. This approach was verified by simulation in MATLAB by the usage of self-tuning control of SISO system in the feedback loop and decentralized self-tuning feedback control of TITO system, too.

Druh

D - Stať ve sborníku

CEP obor

CI - Průmyslová chemie a chemické inženýrství

OECD FORD obor

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Projekt

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Návaznosti

Z - Vyzkumny zamer (s odkazem do CEZ)

Rok uplatnění

2007

Kód důvěrnosti údajů

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

Název statě ve sborníku

8 th International Carpathian Control Conference

ISBN

978-80-8073-805-1

ISSN

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e-ISSN

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Počet stran výsledku

4

Strana od-do

540-543

Název nakladatele

Technická univerzita v Košiciach

Místo vydání

Košice

Místo konání akce

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Datum konání akce

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Typ akce podle státní příslušnosti

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Kód UT WoS článku

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